Suppress torch AMP-CPU warnings
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This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5. Resolves #6692
This was referenced Feb 19, 2022
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This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5. Resolves ultralytics#6692
bfineran
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* Fix TensorRT potential unordered binding addresses (ultralytics#5826) * feat: change file suffix in pythonic way * fix: enforce binding addresses order * fix: enforce binding addresses order * Handle non-TTY `wandb.errors.UsageError` (ultralytics#5839) * `try: except (..., wandb.errors.UsageError)` * bug fix * Avoid inplace modifying`imgs` in `LoadStreams` (ultralytics#5850) When OpenCV retrieving image fail, original code would modify source images **inplace**, which may result in plotting bounding boxes on a black image. That is, before inference, source image `im0s[i]` is OK, but after inference before `Process predictions`, `im0s[i]` may have been changed. * Update `LoadImages` `ret_val=False` handling (ultralytics#5852) Video errors may occur. * Update val.py (ultralytics#5838) * Update val.py Solving Non-ASCII character '\xf0' error during runtime * Update val.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update TorchScript suffix to `*.torchscript` (ultralytics#5856) * Add `--workers 8` argument to val.py (ultralytics#5857) * Update val.py Add an option to choose number of workers if not called by train.py * Update comment * 120 char line width Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update `plot_lr_scheduler()` (ultralytics#5864) shallow copy modify originals * Update `nl` after `cutout()` (ultralytics#5873) * `AutoShape()` models as `DetectMultiBackend()` instances (ultralytics#5845) * Update AutoShape() * autodownload ONNX * Cleanup * Finish updates * Add Usage * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * fix device * Update hubconf.py * Update common.py * smart param selection * autodownload all formats * autopad only pytorch models * new_shape edits * stride tensor fix * Cleanup * Single-command multiple-model export (ultralytics#5882) * Export multiple models in series Export multiple models in series by adding additional `*.pt` files to the `--weights` argument, i.e.: ```bash python export.py --include tflite --weights yolov5n.pt # export 1 model python export.py --include tflite --weights yolov5n.pt yolov5s.pt yolov5m.pt yolov5l.pt yolov5x.pt # export 5 models ``` * Update export.py * Update README.md * `Detections().tolist()` explicit argument fix (ultralytics#5907) debugged for missigned Detections attributes * Update wandb_utils.py (ultralytics#5908) * Add *.engine (TensorRT extensions) to .gitignore (ultralytics#5911) * Add *.engine (TensorRT extensions) to .gitignore * Update .dockerignore Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add ONNX inference providers (ultralytics#5918) * Add ONNX inference providers Fix for ultralytics#5916 * Update common.py * Add hardware checks to `notebook_init()` (ultralytics#5919) * Update notebook * Update notebook * update string * update string * Updates * Updates * Updates * check both ipython and psutil * remove sample_data if is_colab * cleanup * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Revert "Update `plot_lr_scheduler()` (ultralytics#5864)" (ultralytics#5920) This reverts commit 360eec6. * Absolute '/content/sample_data' (ultralytics#5922) * Default PyTorch Hub to `autocast(False)` (ultralytics#5926) * Fix ONNX opset inconsistency with parseargs and run args (ultralytics#5937) * Make `select_device()` robust to `batch_size=-1` (ultralytics#5940) * Find out a bug. When set batch_size = -1 to use the autobatch. reproduce: * Fix type conflict Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * fix .gitignore not tracking existing folders (ultralytics#5946) * fix .gitignore not tracking existing folders fix .gitignore so that the files that are in the repository are actually being tracked. Everything in the data/ folder is ignored, which also means the subdirectories are ignored. Fix so that the subdirectories and their contents are still tracked. * Remove data/trainings Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update `strip_optimizer()` (ultralytics#5949) Replace 'training_result' with 'best_fitness' in strip_optimizer() to match key with ckpt from train.py * Add nms and agnostic nms to export.py (ultralytics#5938) * add nms and agnostic nms to export.py * fix agnostic implies nms * reorder args to group TF args * PEP8 120 char Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Refactor NUM_THREADS (ultralytics#5954) * Fix Detections class `tolist()` method (ultralytics#5945) * Fix tolist() to add the file for each Detection * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix PEP8 requirement for 2 spaces before an inline comment * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Cleanup Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Fix `imgsz` bug (ultralytics#5948) * fix imgsz bug * Update detect.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * `pretrained=False` fix (ultralytics#5966) * `pretriained=False` fix Fix for ultralytics#5964 * CI speed improvement * make parameter ignore epochs (ultralytics#5972) * make parameter ignore epochs ignore epochs functionality add to prevent spikes at the beginning when fitness spikes and decreases after. Discussed at ultralytics#5971 * Update train.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * YOLOv5s6 params and FLOPs fix (ultralytics#5977) * Update callbacks.py with `__init__()` (ultralytics#5979) Add __init__() function. * Increase `ar_thr` from 20 to 100 for better detection on slender (high aspect ratio) objects (ultralytics#5556) * Making `ar_thr` available as a hyperparameter * Disabling ar_thr as hyperparameter and computing from the dataset instead * Fixing bug in ar_thr computation * Fix `ar_thr` to 100 * Allow `--weights URL` (ultralytics#5991) * Recommend `jar xf file.zip` for zips (ultralytics#5993) * *.torchscript inference `self.jit` fix (ultralytics#6007) * Check TensorRT>=8.0.0 version (ultralytics#6021) * Check TensorRT>=8.0.0 version * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Multi-layer capable `--freeze` argument (ultralytics#6019) * support specfiy multiple frozen layers * fix bug * Cleanup Freeze section * Cleanup argument Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * train -> val comment fix (ultralytics#6024) * Add dataset source citations (ultralytics#6032) * Kaggle `LOGGER` fix (ultralytics#6041) * Simplify `set_logging()` indexing (ultralytics#6042) * `--freeze` fix (ultralytics#6044) Fix for ultralytics#6038 * OpenVINO Export (ultralytics#6057) * OpenVINO export * Remove timeout * Add 3 files * str * Constrain opset to 12 * Default ONNX opset to 12 * Make dir * Make dir * Cleanup * Cleanup * check_requirements(('openvino-dev',)) * Reduce G/D/CIoU logic operations (ultralytics#6074) Consider that the default value is CIOU，adjust the order of judgment could reduce the number of judgments. And “elif CIoU:” didn't need 'if'. Co-authored-by: 李杰 <360751194@qq.comqq.com> * Init tensor directly on device (ultralytics#6068) Slightly more efficient than .to(device) * W&B: track batch size after autobatch (ultralytics#6039) * track batch size after autobatch * remove redundant import * Update __init__.py * Update __init__.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * W&B: Log best results after training ends (ultralytics#6120) * log best.pt metrics at train end * update * Update __init__.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Log best results (ultralytics#6085) * log best result in summary * comment added * add space for `flake8` * log `best/epoch` * fix `dimension` for epoch ValueError: all the input arrays must have same number of dimensions * log `best/` in `utils.logger.__init__` * fix pre-commit 1. missing whitespace around operator 2. over-indented * Refactor/reduce G/C/D/IoU `if: else` statements (ultralytics#6087) * Refactor the code to reduece else * Update metrics.py * Cleanup Co-authored-by: Cmos <gen.chen@ubisoft.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add EdgeTPU support (ultralytics#3630) * Add models/tf.py for TensorFlow and TFLite export * Set auto=False for int8 calibration * Update requirements.txt for TensorFlow and TFLite export * Read anchors directly from PyTorch weights * Add --tf-nms to append NMS in TensorFlow SavedModel and GraphDef export * Remove check_anchor_order, check_file, set_logging from import * Reformat code and optimize imports * Autodownload model and check cfg * update --source path, img-size to 320, single output * Adjust representative_dataset * Put representative dataset in tfl_int8 block * detect.py TF inference * weights to string * weights to string * cleanup tf.py * Add --dynamic-batch-size * Add xywh normalization to reduce calibration error * Update requirements.txt TensorFlow 2.3.1 -> 2.4.0 to avoid int8 quantization error * Fix imports Move C3 from models.experimental to models.common * Add models/tf.py for TensorFlow and TFLite export * Set auto=False for int8 calibration * Update requirements.txt for TensorFlow and TFLite export * Read anchors directly from PyTorch weights * Add --tf-nms to append NMS in TensorFlow SavedModel and GraphDef export * Remove check_anchor_order, check_file, set_logging from import * Reformat code and optimize imports * Autodownload model and check cfg * update --source path, img-size to 320, single output * Adjust representative_dataset * detect.py TF inference * Put representative dataset in tfl_int8 block * weights to string * weights to string * cleanup tf.py * Add --dynamic-batch-size * Add xywh normalization to reduce calibration error * Update requirements.txt TensorFlow 2.3.1 -> 2.4.0 to avoid int8 quantization error * Fix imports Move C3 from models.experimental to models.common * implement C3() and SiLU() * Add TensorFlow and TFLite Detection * Add --tfl-detect for TFLite Detection * Add int8 quantized TFLite inference in detect.py * Add --edgetpu for Edge TPU detection * Fix --img-size to add rectangle TensorFlow and TFLite input * Add --no-tf-nms to detect objects using models combined with TensorFlow NMS * Fix --img-size list type input * Update README.md * Add Android project for TFLite inference * Upgrade TensorFlow v2.3.1 -> v2.4.0 * Disable normalization of xywh * Rewrite names init in detect.py * Change input resolution 640 -> 320 on Android * Disable NNAPI * Update README.me --img 640 -> 320 * Update README.me for Edge TPU * Update README.md * Fix reshape dim to support dynamic batching * Fix reshape dim to support dynamic batching * Add epsilon argument in tf_BN, which is different between TF and PT * Set stride to None if not using PyTorch, and do not warmup without PyTorch * Add list support in check_img_size() * Add list input support in detect.py * sys.path.append('./') to run from yolov5/ * Add int8 quantization support for TensorFlow 2.5 * Add get_coco128.sh * Remove --no-tfl-detect in models/tf.py (Use tf-android-tfl-detect branch for EdgeTPU) * Update requirements.txt * Replace torch.load() with attempt_load() * Update requirements.txt * Add --tf-raw-resize to set half_pixel_centers=False * Remove android directory * Update README.md * Update README.md * Add multiple OS support for EdgeTPU detection * Fix export and detect * Export 3 YOLO heads with Edge TPU models * Remove xywh denormalization with Edge TPU models in detect.py * Fix saved_model and pb detect error * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix pre-commit.ci failure * Add edgetpu in export.py docstring * Fix Edge TPU model detection exported by TF 2.7 * Add class names for TF/TFLite in DetectMultibackend * Fix assignment with nl in TFLite Detection * Add check when getting Edge TPU compiler version * Add UTF-8 encoding in opening --data file for Windows * Remove redundant TensorFlow import * Add Edge TPU in export.py's docstring * Add the detect layer in Edge TPU model conversion * Default `dnn=False` * Cleanup data.yaml loading * Update detect.py * Update val.py * Comments and generalize data.yaml names Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: unknown <fangjiacong@ut.cn> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Enable AdamW optimizer (ultralytics#6152) * Update export format docstrings (ultralytics#6151) * Update export documentation * Cleanup * Update export.py * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update README.md * Update README.md * Update README.md * Update train.py * Update train.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update greetings.yml (ultralytics#6165) * [pre-commit.ci] pre-commit suggestions (ultralytics#6177) updates: - [github.com/pre-commit/pre-commit-hooks: v4.0.1 → v4.1.0](pre-commit/pre-commit-hooks@v4.0.1...v4.1.0) - [github.com/asottile/pyupgrade: v2.23.1 → v2.31.0](asottile/pyupgrade@v2.23.1...v2.31.0) - [github.com/PyCQA/isort: 5.9.3 → 5.10.1](PyCQA/isort@5.9.3...5.10.1) - [github.com/PyCQA/flake8: 3.9.2 → 4.0.1](PyCQA/flake8@3.9.2...4.0.1) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update NMS `max_wh=7680` for 8k images (ultralytics#6178) * Add OpenVINO inference (ultralytics#6179) * Ignore `*_openvino_model/` dir (ultralytics#6180) * Global export format sort (ultralytics#6182) * Global export sort * Cleanup * Fix TorchScript on mobile export (ultralytics#6183) * fix export of TorchScript on mobile * Cleanup Co-authored-by: yinrong <yinrong@xiaomi.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * TensorRT 7 `anchor_grid` compatibility fix (ultralytics#6185) * fix: TensorRT 7 incompatiable * Add comment * Add if: else and comment Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add `tensorrt>=7.0.0` checks (ultralytics#6193) * Add `tensorrt>=7.0.0` checks * Update export.py * Update common.py * Update export.py * Add CoreML inference (ultralytics#6195) * Add Apple CoreML inference * Cleanup * Fix `nan`-robust stream FPS (ultralytics#6198) Fix for Webcam stop working suddenly (Issue ultralytics#6197) * Edge TPU compiler comment (ultralytics#6196) * Edge TPU compiler comment * 7 to 8 fix * TFLite `--int8` 'flatbuffers==1.12' fix (ultralytics#6216) * TFLite `--int8` 'flatbuffers==1.12' fix Temporary workaround for TFLite INT8 export. * Update export.py * Update export.py * TFLite `--int8` 'flatbuffers==1.12' fix 2 (ultralytics#6217) * TFLite `--int8` 'flatbuffers==1.12' fix 2 Reorganizes ultralytics#6216 fix to update before `tensorflow` import so no restart required. * Update export.py * Add `edgetpu_compiler` checks (ultralytics#6218) * Add `edgetpu_compiler` checks * Update export.py * Update export.py * Update export.py * Update export.py * Update export.py * Update export.py * Attempt `edgetpu-compiler` autoinstall (ultralytics#6223) * Attempt `edgetpu-compiler` autoinstall Attempt to install edgetpu-compiler dependency if missing on Linux. * Update export.py * Update export.py * Update README speed reproduction command (ultralytics#6228) * Update P2-P7 `models/hub` variants (ultralytics#6230) * Update p2-p7 `models/hub` variants * Update common.py * AutoAnchor camelcase corrections * TensorRT 7 export fix (ultralytics#6235) * Fix `cmd` string on `tfjs` export (ultralytics#6243) * Fix cmd string on tfjs export * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * TensorRT pip install * Enable ONNX `--half` FP16 inference (ultralytics#6268) * Enable ONNX ``--half` FP16 inference * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update `export.py` with Detect, Validate usages (ultralytics#6280) * Add `is_kaggle()` function (ultralytics#6285) * Add `is_kaggle()` function Return True if environment is Kaggle Notebook. * Remove root loggers only if is_kaggle() == True * Update general.py * Fix `device` count check (ultralytics#6290) * Fix device count check() * Update torch_utils.py * Update torch_utils.py * Update hubconf.py * Fixing bug multi-gpu training (ultralytics#6299) * Fixing bug multi-gpu training This solves this issue: ultralytics#6297 (comment) * Update torch_utils.py for pep8 * `select_device()` cleanup (ultralytics#6302) * `select_device()` cleanup * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Fix `train.py` parameter groups desc error (ultralytics#6318) * Fix `train.py` parameter groups desc error * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Remove `dataset_stats()` autodownload capability (ultralytics#6303) * Remove `dataset_stats()` autodownload capability @kalenmike security update per Slack convo * Update datasets.py * Console corrupted -> corrupt (ultralytics#6338) * Console corrupted -> corrupt Minor style changes. * Update export.py * TensorRT `assert im.device.type != 'cpu'` on export (ultralytics#6340) * TensorRT `assert im.device.type != 'cpu'` on export * Update export.py * `export.py` return exported files/dirs (ultralytics#6343) * `export.py` return exported files/dirs * Path to str * Created using Colaboratory * `export.py` automatic `forward_export` (ultralytics#6352) * `export.py` automatic `forward_export` * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * New environment variable `VERBOSE` (ultralytics#6353) New environment variable `VERBOSE` * Reuse `de_parallel()` rather than `is_parallel()` (ultralytics#6354) * `DEVICE_COUNT` instead of `WORLD_SIZE` to calculate `nw` (ultralytics#6324) * Flush callbacks when on `--evolve` (ultralytics#6374) * log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * FROM nvcr.io/nvidia/pytorch:21.12-py3 (ultralytics#6377) * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6379) 21.12 generates dockerhub errors so rolling back to 21.10 with latest pytorch install. Not sure if this torch install will work on non-GPU dockerhub autobuild so this is an experiment. * Add `albumentations` to Dockerfile (ultralytics#6392) * Add `stop_training=False` flag to callbacks (ultralytics#6365) * New flag 'stop_training' in util.callbacks.Callbacks class to prematurely stop training from callback handler * Removed most of the new checks, leaving only the one after calling 'on_train_batch_end' * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add `detect.py` GIF video inference (ultralytics#6410) * Add detect.py GIF video inference * Cleanup * Update `greetings.yaml` email address (ultralytics#6412) * Update `greetings.yaml` email address * Update greetings.yml * Rename logger from 'utils.logger' to 'yolov5' (ultralytics#6421) * Gave a more explicit name to the logger * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Prefer `tflite_runtime` for TFLite inference if installed (ultralytics#6406) * import tflite_runtime if tensorflow not installed * rename tflite to tfli * Attempt tflite_runtime for all TFLite workflows Also rename tfli to tfl Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update workflows (ultralytics#6427) * Workflow updates * quotes fix * best to weights fix * Namespace `VERBOSE` env variable to `YOLOv5_VERBOSE` (ultralytics#6428) * Verbose updates * Verbose updates * Add `*.asf` video support (ultralytics#6436) * Revert "Remove `dataset_stats()` autodownload capability (ultralytics#6303)" (ultralytics#6442) This reverts commit 3119b2f. * Fix `select_device()` for Multi-GPU (ultralytics#6434) * Fix `select_device()` for Multi-GPU Possible fix for ultralytics#6431 * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update * Update * Update * Update * Update * Update * Update * Update * Update * Fix2 `select_device()` for Multi-GPU (ultralytics#6461) * Fix2 select_device() for Multi-GPU * Cleanup * Cleanup * Simplify error message * Improve assert * Update torch_utils.py * Add Product Hunt social media icon (ultralytics#6464) * Social media icons update * fix URL * Update README.md * Resolve dataset paths (ultralytics#6489) * Simplify TF normalized to pixels (ultralytics#6494) * Improved `export.py` usage examples (ultralytics#6495) * Improved `export.py` usage examples * Cleanup * CoreML inference fix `list()` -> `sorted()` (ultralytics#6496) * Suppress `torch.jit.TracerWarning` on export (ultralytics#6498) * Suppress torch.jit.TracerWarning TracerWarnings can be safely ignored. * Cleanup * Suppress export.run() TracerWarnings (ultralytics#6499) Suppresses warnings when calling export.run() directly, not just CLI python export.py. Also adds Requirements examples for CPU and GPU backends * W&B: Remember batchsize on resuming (ultralytics#6512) * log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve * remember batch size on resuming * Update train.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update hyp.scratch-high.yaml (ultralytics#6525) Update `lrf: 0.1`, tested on YOLOv5x6 to 55.0 mAP@0.5:0.95, slightly higher than current. * TODO issues exempt from stale action (ultralytics#6530) * Update val_batch*.jpg for Chinese fonts (ultralytics#6526) * Update plots for Chinese fonts * make is_chinese() non-str safe * Add global FONT * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update general.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Social icons after text (ultralytics#6473) * Social icons after text * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update README.md Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Edge TPU compiler `sudo` fix (ultralytics#6531) * Edge TPU compiler sudo fix Allows for auto-install of Edge TPU compiler on non-sudo systems like the YOLOv5 Docker image. @kalenmike * Update export.py * Update export.py * Update export.py * Edge TPU export 'list index out of range' fix (ultralytics#6533) * Edge TPU `tf.lite.experimental.load_delegate` fix (ultralytics#6536) * Edge TPU `tf.lite.experimental.load_delegate` fix Fix attempt for ultralytics#6535 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fixing minor multi-streaming issues with TensoRT engine (ultralytics#6504) * Update batch-size in model.warmup() + indentation for logging inference results * These changes are in response to PR comments * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Load checkpoint on CPU instead of on GPU (ultralytics#6516) * Load checkpoint on CPU instead of on GPU * refactor: simplify code * Cleanup * Update train.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * flake8: code meanings (ultralytics#6481) * Fix 6 Flake8 issues (ultralytics#6541) * F541 * F821 * F841 * E741 * E302 * E722 * Apply suggestions from code review * Update general.py * Update datasets.py * Update export.py * Update plots.py * Update plots.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Edge TPU TF imports fix (ultralytics#6542) * Edge TPU TF imports fix Fix for ultralytics#6535 (comment) * Update common.py * Move trainloader functions to class methods (ultralytics#6559) * Move trainloader functions to class methods * results = ThreadPool(NUM_THREADS).imap(self.load_image, range(n)) * Cleanup * Improved AutoBatch DDP error message (ultralytics#6568) * Improved AutoBatch DDP error message * Cleanup * Fix zero-export handling with `if any(f):` (ultralytics#6569) * Fix zero-export handling with `if any(f):` Partial fix for ultralytics#6563 * Cleanup * Fix `plot_labels()` colored histogram bug (ultralytics#6574) * Fix `plot_labels()` colored histogram bug * Cleanup * Allow custom` --evolve` project names (ultralytics#6567) * Update train.py As see in ultralytics#6463, modification on train in evolve process to allow custom save directory. * fix val * PEP8 whitespace around operator * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add `DATASETS_DIR` global in general.py (ultralytics#6578) * return `opt` from `train.run()` (ultralytics#6581) * Fix YouTube dislike button bug in `pafy` package (ultralytics#6603) Per ultralytics#6583 (comment) by @alicera * Update train.py * Fix `hyp_evolve.yaml` indexing bug (ultralytics#6604) * Fix `hyp_evolve.yaml` indexing bug Bug caused hyp_evolve.yaml to display latest generation result rather than best generation result. * Update plots.py * Update general.py * Update general.py * Update general.py * Fix `ROOT / data` when running W&B `log_dataset()` (ultralytics#6606) * Fix missing data folder when running log_dataset * Use ROOT/'data' * PEP8 whitespace * YouTube dependency fix `youtube_dl==2020.12.2` (ultralytics#6612) Per ultralytics#5860 (comment) by @hdnh2006 * Add YOLOv5n to Reproduce section (ultralytics#6619) * W&B: Improve resume stability (ultralytics#6611) * log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve * remember batch size on resuming * Update train.py * improve stability of resume Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * W&B: don't log media in evolve (ultralytics#6617) * YOLOv5 Export Benchmarks (ultralytics#6613) * Add benchmarks.py * Update * Add requirements * Updates * Updates * Updates * Updates * Updates * Updates * dataset autodownload from root * Update * Redirect to /dev/null * sudo --help * Cleanup * Add exports pd df * Updates * Updates * Updates * Cleanup * dir handling fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Cleanup * Cleanup2 * Cleanup3 * Cleanup model_type Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fix ConfusionMatrix scale `vmin=0.0` (ultralytics#6638) Fix attempt for ultralytics#6626 * Fixed wandb logger KeyError (ultralytics#6637) * Fix yolov3.yaml remove list (ultralytics#6655) Per ultralytics/yolov3#1887 (comment) * Validate with 2x `--workers` (ultralytics#6658) * Validate with 2x `--workers` single-GPU/CPU fix (ultralytics#6659) Fix for ultralytics#6658 for single-GPU and CPU training use cases * Add `--cache val` (ultralytics#6663) New `--cache val` argument will cache validation set only into RAM. Should help multi-GPU training speeds without consuming as much RAM as full `--cache ram`. * Robust `scipy.cluster.vq.kmeans` too few points (ultralytics#6668) * Handle `scipy.cluster.vq.kmeans` too few points Resolves ultralytics#6664 * Update autoanchor.py * Cleanup * Update Dockerfile `torch==1.10.2+cu113` (ultralytics#6669) * FROM nvcr.io/nvidia/pytorch:22.01-py3 (ultralytics#6670) * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6671) 22.10 returns 'no space left on device' error message. Seems like a bug at docker. Raised issue in docker/hub-feedback#2209 * Update Dockerfile reorder installs (ultralytics#6672) Also `nvidia-tensorboard-plugin-dlprof`, `nvidia-tensorboard` are no longer installed in NVCR base. * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6673) Reordered installation may help reduce resource usage in autobuild * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6677) Revert to 21.10 on autobuild fail * Fix TF exports >= 2GB (ultralytics#6292) * Fix exporting saved_model: pb exceeds 2GB * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Replace TF v1.x API with TF v2.x API for saved_model export * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Clean up * Remove lambda in tf.function() * Revert "Remove lambda in tf.function()" to be compatible with TF v2.4 This reverts commit 46c7931f11dfdea6ae340c77287c35c30b9e0779. * Fix for pre-commit.ci * Cleanup1 * Cleanup2 * Backwards compatibility update * Update common.py * Update common.py * Cleanup3 Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Fix `--evolve --bucket gs://...` (ultralytics#6698) * Fix CoreML P6 inference (ultralytics#6700) * Fix CoreML P6 inference * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fix floating point in number of workers `nw` (ultralytics#6701) Integer division by a float yields a (rounded) float. This causes the dataloader to crash when creating a range. * Edge TPU inference fix (ultralytics#6686) * refactor: use edgetpu flag * fix: remove bitwise and assignation to tflite * Cleanup and fix tflite * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Use `export_formats()` in export.py (ultralytics#6705) * Use `export_formats()` in export.py * list fix * Suppress `torch` AMP-CPU warnings (ultralytics#6706) This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5. Resolves ultralytics#6692 * Update `nw` to `max(nd, 1)` (ultralytics#6714) * GH: add PR template (ultralytics#6482) * GH: add PR template * Update CONTRIBUTING.md * Update PULL_REQUEST_TEMPLATE.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Switch default LR scheduler from cos to linear (ultralytics#6729) * Switch default LR scheduler from cos to linear Based on empirical results of training both ways on all YOLOv5 models. * linear bug fix * Updated VOC hyperparameters (ultralytics#6732) * Update hyps * Update hyp.VOC.yaml * Update pathlib * Update hyps * Update hyps * Update hyps * Update hyps * YOLOv5 v6.1 release (ultralytics#6739) * Pre-commit table fix (ultralytics#6744) * Update tutorial.ipynb (2 CPUs, 12.7 GB RAM, 42.2/166.8 GB disk) (ultralytics#6767) * Update min warmup iterations from 1k to 100 (ultralytics#6768) * Default `OMP_NUM_THREADS=8` (ultralytics#6770) * Update tutorial.ipynb (ultralytics#6771) * Update hyp.VOC.yaml (ultralytics#6772) * Fix export for 1-channel images (ultralytics#6780) Export failed for 1-channel input shape, 1-liner fix * Update EMA decay `tau` (ultralytics#6769) * Update EMA * Update EMA * ratio invert * fix ratio invert * fix2 ratio invert * warmup iterations to 100 * ema_k * implement tau * implement tau * YOLOv5s6 params FLOPs fix (ultralytics#6782) * Update PULL_REQUEST_TEMPLATE.md (ultralytics#6783) * Update autoanchor.py (ultralytics#6794) * Update autoanchor.py * Update autoanchor.py * Update sweep.yaml (ultralytics#6825) * Update sweep.yaml Changed focal loss gamma search range between 1 and 4 * Update sweep.yaml lowered the min value to match default * AutoAnchor improved initialization robustness (ultralytics#6854) * Update AutoAnchor * Update AutoAnchor * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Add `*.ts` to `VID_FORMATS` (ultralytics#6859) * Update `--cache disk` deprecate `*_npy/` dirs (ultralytics#6876) * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Cleanup * Cleanup * Update yolov5s.yaml (ultralytics#6865) * Update yolov5s.yaml * Update yolov5s.yaml Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Default FP16 TensorRT export (ultralytics#6798) * Assert engine precision ultralytics#6777 * Default to FP32 inputs for TensorRT engines * Default to FP16 TensorRT exports ultralytics#6777 * Remove wrong line ultralytics#6777 * Automatically adjust detect.py input precision ultralytics#6777 * Automatically adjust val.py input precision ultralytics#6777 * Add missing colon * Cleanup * Cleanup * Remove default trt_fp16_input definition * Experiment * Reorder detect.py if statement to after half checks * Update common.py * Update export.py * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Bump actions/setup-python from 2 to 3 (ultralytics#6880) Bumps [actions/setup-python](https://github.com/actions/setup-python) from 2 to 3. - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](actions/setup-python@v2...v3) --- updated-dependencies: - dependency-name: actions/setup-python dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump actions/checkout from 2 to 3 (ultralytics#6881) Bumps [actions/checkout](https://github.com/actions/checkout) from 2 to 3. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](actions/checkout@v2...v3) --- updated-dependencies: - dependency-name: actions/checkout dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Fix TRT `max_workspace_size` deprecation notice (ultralytics#6856) * Fix TRT `max_workspace_size` deprecation notice * Update export.py * Update export.py * Update bytes to GB with bitshift (ultralytics#6886) * Move `git_describe()` to general.py (ultralytics#6918) * Move `git_describe()` to general.py * Move `git_describe()` to general.py * PyTorch 1.11.0 compatibility updates (ultralytics#6932) Resolves `AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'` first raised in ultralytics#5499 * Optimize PyTorch 1.11.0 compatibility update (ultralytics#6933) * Allow 3-point segments (ultralytics#6938) May resolve ultralytics#6931 * Fix PyTorch Hub export inference shapes (ultralytics#6949) May resolve ultralytics#6947 * DetectMultiBackend() `--half` handling (ultralytics#6945) * DetectMultiBackend() `--half` handling * CI fixes * rename .half to .fp16 to avoid conflict * warmup fix * val update * engine update * engine update * Update Dockerfile `torch==1.11.0+cu113` (ultralytics#6954) * New val.py `cuda` variable (ultralytics#6957) * New val.py `cuda` variable Fix for ONNX GPU val. * Update val.py * DetectMultiBackend() return `device` update (ultralytics#6958) Fixes ONNX validation that returns outputs on CPU. * Tensor initialization on device improvements (ultralytics#6959) * Update common.py speed improvements Eliminate .to() ops where possible for reduced data transfer overhead. Primarily affects warmup and PyTorch Hub inference. * Updates * Updates * Update detect.py * Update val.py * EdgeTPU optimizations (ultralytics#6808) * removed transpose op for better edgetpu support * fix for training case * enabled experimental new quantizer flag * precalculate add and mul ops at compile time Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Model `ema` key backward compatibility fix (ultralytics#6972) Fix for older model loading issue in ultralytics@d3d9cbc#commitcomment-68622388 * pt model to cpu on TF export * YOLOv5 Export Benchmarks for GPU (ultralytics#6963) * Add benchmarks.py GPU support * Updates * Updates * Updates * Updates * Add --half * Add TRT requirements * Cleanup * Add TF to warmup types * Update export.py * Update export.py * Update benchmarks.py * Update TQDM bar format (ultralytics#6988) * Conditional `Timeout()` by OS (disable on Windows) (ultralytics#7013) * Conditional `Timeout()` by OS (disable on Windows) * Update general.py * fix: add default PIL font as fallback (ultralytics#7010) * fix: add default font as fallback Add default font as fallback if the downloading of the Arial.ttf font fails for some reason, e.g. no access to public internet. * Update plots.py Co-authored-by: Maximilian Strobel <Maximilian.Strobel@infineon.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Consistent saved_model output format (ultralytics#7032) * `ComputeLoss()` indexing/speed improvements (ultralytics#7048) * device as class attribute * Update loss.py * Update loss.py * improve zeros * tensor split * Update Dockerfile to `git clone` instead of `COPY` (ultralytics#7053) Resolves git command errors that currently happen in image, i.e.: ```bash root@382ae64aeca2:/usr/src/app# git pull Warning: Permanently added the ECDSA host key for IP address '140.82.113.3' to the list of known hosts. git@github.com: Permission denied (publickey). fatal: Could not read from remote repository. Please make sure you have the correct access rights and the repository exists. ``` * Create SECURITY.md (ultralytics#7054) * Create SECURITY.md Resolves ultralytics#7052 * Move into ./github * Update SECURITY.md * Fix incomplete URL substring sanitation (ultralytics#7056) Resolves code scanning alert in ultralytics#7055 * Use PIL to eliminate chroma subsampling in crops (ultralytics#7008) * use pillow to save higher-quality jpg (w/o color subsampling) * Cleanup and doc issue Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Fix `check_anchor_order()` in pixel-space not grid-space (ultralytics#7060) * Update `check_anchor_order()` Use mean area per output layer for added stability. * Check in pixel-space not grid-space fix * Update detect.py non-inplace with `y.tensor_split()` (ultralytics#7062) * Update common.py lists for tuples (ultralytics#7063) Improved profiling. * Update W&B message to `LOGGER.info()` (ultralytics#7064) * Update __init__.py (ultralytics#7065) * Add non-zero `da` `check_anchor_order()` condition (ultralytics#7066) * Fix2 `check_anchor_order()` in pixel-space not grid-space (ultralytics#7067) Follows ultralytics#7060 which provided only a partial solution to this issue. ultralytics#7060 resolved occurences in yolo.py, this applies the same fix in autoanchor.py. * Revert "Update detect.py non-inplace with `y.tensor_split()` (ultralytics#7062)" (ultralytics#7074) This reverts commit d5e363f. * Update loss.py with `if self.gr < 1:` (ultralytics#7087) * Update loss.py with `if self.gr < 1:` * Update loss.py * Update loss for FP16 `tobj` (ultralytics#7088) * Update model summary to display model name (ultralytics#7101) * `torch.split()` 1.7.0 compatibility fix (ultralytics#7102) * Update loss.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update loss.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update benchmarks significant digits (ultralytics#7103) * Model summary `pathlib` fix (ultralytics#7104) Stems not working correctly for YOLOv5l with current .rstrip() implementation. After fix: ``` YOLOv5l summary: 468 layers, 46563709 parameters, 46563709 gradients, 109.3 GFLOPs ``` * Remove named arguments where possible (ultralytics#7105) * Remove named arguments where possible Speed improvements. * Update yolo.py * Update yolo.py * Update yolo.py * Multi-threaded VisDrone and VOC downloads (ultralytics#7108) * Multi-threaded VOC download * Update VOC.yaml * Update * Update general.py * Update general.py * `np.fromfile()` Chinese image paths fix (ultralytics#6979) * 🎉 🆕 now can read Chinese image path. use "cv2.imdecode(np.fromfile(f, np.uint8), cv2.IMREAD_COLOR)" instead of "cv2.imread(f)" for Chinese image path. * Update datasets.py * Update __init__.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add PyTorch Hub `results.save(labels=False)` option (ultralytics#7129) Resolves ultralytics#388 (comment) * SparseML integration * Add SparseML dependancy * Update: add missing files * Update requirements.txt * Update: sparseml-nightly support * Update: remove model versioning * Partial update for multi-stage recipes * Update: multi-stage recipe support * Update: remove sparseml dep * Fix: multi-stage recipe handeling * Fix: multi stage support * Fix: non-recipe runs * Add: legacy hyperparam files * Fix: add copy-paste to hyps * Fix: nit * apply structure fixes * Squashed rebase to v6.1 upstream * Update SparseML Integration to V6.1 (#26) * SparseML integration * Add SparseML dependancy * Update: add missing files * Update requirements.txt * Update: sparseml-nightly support * Update: remove model versioning * Partial update for multi-stage recipes * Update: multi-stage recipe support * Update: remove sparseml dep * Fix: multi-stage recipe handeling * Fix: multi stage support * Fix: non-recipe runs * Add: legacy hyperparam files * Fix: add copy-paste to hyps * Fix: nit * apply structure fixes * manager fixes * Update function name Co-authored-by: Konstantin <konstantin@neuralmagic.com> Co-authored-by: Konstantin Gulin <66528950+KSGulin@users.noreply.github.com>
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* Fix TensorRT potential unordered binding addresses (ultralytics#5826) * feat: change file suffix in pythonic way * fix: enforce binding addresses order * fix: enforce binding addresses order * Handle non-TTY `wandb.errors.UsageError` (ultralytics#5839) * `try: except (..., wandb.errors.UsageError)` * bug fix * Avoid inplace modifying`imgs` in `LoadStreams` (ultralytics#5850) When OpenCV retrieving image fail, original code would modify source images **inplace**, which may result in plotting bounding boxes on a black image. That is, before inference, source image `im0s[i]` is OK, but after inference before `Process predictions`, `im0s[i]` may have been changed. * Update `LoadImages` `ret_val=False` handling (ultralytics#5852) Video errors may occur. * Update val.py (ultralytics#5838) * Update val.py Solving Non-ASCII character '\xf0' error during runtime * Update val.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update TorchScript suffix to `*.torchscript` (ultralytics#5856) * Add `--workers 8` argument to val.py (ultralytics#5857) * Update val.py Add an option to choose number of workers if not called by train.py * Update comment * 120 char line width Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update `plot_lr_scheduler()` (ultralytics#5864) shallow copy modify originals * Update `nl` after `cutout()` (ultralytics#5873) * `AutoShape()` models as `DetectMultiBackend()` instances (ultralytics#5845) * Update AutoShape() * autodownload ONNX * Cleanup * Finish updates * Add Usage * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * fix device * Update hubconf.py * Update common.py * smart param selection * autodownload all formats * autopad only pytorch models * new_shape edits * stride tensor fix * Cleanup * Single-command multiple-model export (ultralytics#5882) * Export multiple models in series Export multiple models in series by adding additional `*.pt` files to the `--weights` argument, i.e.: ```bash python export.py --include tflite --weights yolov5n.pt # export 1 model python export.py --include tflite --weights yolov5n.pt yolov5s.pt yolov5m.pt yolov5l.pt yolov5x.pt # export 5 models ``` * Update export.py * Update README.md * `Detections().tolist()` explicit argument fix (ultralytics#5907) debugged for missigned Detections attributes * Update wandb_utils.py (ultralytics#5908) * Add *.engine (TensorRT extensions) to .gitignore (ultralytics#5911) * Add *.engine (TensorRT extensions) to .gitignore * Update .dockerignore Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add ONNX inference providers (ultralytics#5918) * Add ONNX inference providers Fix for ultralytics#5916 * Update common.py * Add hardware checks to `notebook_init()` (ultralytics#5919) * Update notebook * Update notebook * update string * update string * Updates * Updates * Updates * check both ipython and psutil * remove sample_data if is_colab * cleanup * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Revert "Update `plot_lr_scheduler()` (ultralytics#5864)" (ultralytics#5920) This reverts commit 360eec6. * Absolute '/content/sample_data' (ultralytics#5922) * Default PyTorch Hub to `autocast(False)` (ultralytics#5926) * Fix ONNX opset inconsistency with parseargs and run args (ultralytics#5937) * Make `select_device()` robust to `batch_size=-1` (ultralytics#5940) * Find out a bug. When set batch_size = -1 to use the autobatch. reproduce: * Fix type conflict Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * fix .gitignore not tracking existing folders (ultralytics#5946) * fix .gitignore not tracking existing folders fix .gitignore so that the files that are in the repository are actually being tracked. Everything in the data/ folder is ignored, which also means the subdirectories are ignored. Fix so that the subdirectories and their contents are still tracked. * Remove data/trainings Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update `strip_optimizer()` (ultralytics#5949) Replace 'training_result' with 'best_fitness' in strip_optimizer() to match key with ckpt from train.py * Add nms and agnostic nms to export.py (ultralytics#5938) * add nms and agnostic nms to export.py * fix agnostic implies nms * reorder args to group TF args * PEP8 120 char Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Refactor NUM_THREADS (ultralytics#5954) * Fix Detections class `tolist()` method (ultralytics#5945) * Fix tolist() to add the file for each Detection * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix PEP8 requirement for 2 spaces before an inline comment * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Cleanup Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Fix `imgsz` bug (ultralytics#5948) * fix imgsz bug * Update detect.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * `pretrained=False` fix (ultralytics#5966) * `pretriained=False` fix Fix for ultralytics#5964 * CI speed improvement * make parameter ignore epochs (ultralytics#5972) * make parameter ignore epochs ignore epochs functionality add to prevent spikes at the beginning when fitness spikes and decreases after. Discussed at ultralytics#5971 * Update train.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * YOLOv5s6 params and FLOPs fix (ultralytics#5977) * Update callbacks.py with `__init__()` (ultralytics#5979) Add __init__() function. * Increase `ar_thr` from 20 to 100 for better detection on slender (high aspect ratio) objects (ultralytics#5556) * Making `ar_thr` available as a hyperparameter * Disabling ar_thr as hyperparameter and computing from the dataset instead * Fixing bug in ar_thr computation * Fix `ar_thr` to 100 * Allow `--weights URL` (ultralytics#5991) * Recommend `jar xf file.zip` for zips (ultralytics#5993) * *.torchscript inference `self.jit` fix (ultralytics#6007) * Check TensorRT>=8.0.0 version (ultralytics#6021) * Check TensorRT>=8.0.0 version * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Multi-layer capable `--freeze` argument (ultralytics#6019) * support specfiy multiple frozen layers * fix bug * Cleanup Freeze section * Cleanup argument Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * train -> val comment fix (ultralytics#6024) * Add dataset source citations (ultralytics#6032) * Kaggle `LOGGER` fix (ultralytics#6041) * Simplify `set_logging()` indexing (ultralytics#6042) * `--freeze` fix (ultralytics#6044) Fix for ultralytics#6038 * OpenVINO Export (ultralytics#6057) * OpenVINO export * Remove timeout * Add 3 files * str * Constrain opset to 12 * Default ONNX opset to 12 * Make dir * Make dir * Cleanup * Cleanup * check_requirements(('openvino-dev',)) * Reduce G/D/CIoU logic operations (ultralytics#6074) Consider that the default value is CIOU，adjust the order of judgment could reduce the number of judgments. And “elif CIoU:” didn't need 'if'. Co-authored-by: 李杰 <360751194@qq.comqq.com> * Init tensor directly on device (ultralytics#6068) Slightly more efficient than .to(device) * W&B: track batch size after autobatch (ultralytics#6039) * track batch size after autobatch * remove redundant import * Update __init__.py * Update __init__.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * W&B: Log best results after training ends (ultralytics#6120) * log best.pt metrics at train end * update * Update __init__.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Log best results (ultralytics#6085) * log best result in summary * comment added * add space for `flake8` * log `best/epoch` * fix `dimension` for epoch ValueError: all the input arrays must have same number of dimensions * log `best/` in `utils.logger.__init__` * fix pre-commit 1. missing whitespace around operator 2. over-indented * Refactor/reduce G/C/D/IoU `if: else` statements (ultralytics#6087) * Refactor the code to reduece else * Update metrics.py * Cleanup Co-authored-by: Cmos <gen.chen@ubisoft.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add EdgeTPU support (ultralytics#3630) * Add models/tf.py for TensorFlow and TFLite export * Set auto=False for int8 calibration * Update requirements.txt for TensorFlow and TFLite export * Read anchors directly from PyTorch weights * Add --tf-nms to append NMS in TensorFlow SavedModel and GraphDef export * Remove check_anchor_order, check_file, set_logging from import * Reformat code and optimize imports * Autodownload model and check cfg * update --source path, img-size to 320, single output * Adjust representative_dataset * Put representative dataset in tfl_int8 block * detect.py TF inference * weights to string * weights to string * cleanup tf.py * Add --dynamic-batch-size * Add xywh normalization to reduce calibration error * Update requirements.txt TensorFlow 2.3.1 -> 2.4.0 to avoid int8 quantization error * Fix imports Move C3 from models.experimental to models.common * Add models/tf.py for TensorFlow and TFLite export * Set auto=False for int8 calibration * Update requirements.txt for TensorFlow and TFLite export * Read anchors directly from PyTorch weights * Add --tf-nms to append NMS in TensorFlow SavedModel and GraphDef export * Remove check_anchor_order, check_file, set_logging from import * Reformat code and optimize imports * Autodownload model and check cfg * update --source path, img-size to 320, single output * Adjust representative_dataset * detect.py TF inference * Put representative dataset in tfl_int8 block * weights to string * weights to string * cleanup tf.py * Add --dynamic-batch-size * Add xywh normalization to reduce calibration error * Update requirements.txt TensorFlow 2.3.1 -> 2.4.0 to avoid int8 quantization error * Fix imports Move C3 from models.experimental to models.common * implement C3() and SiLU() * Add TensorFlow and TFLite Detection * Add --tfl-detect for TFLite Detection * Add int8 quantized TFLite inference in detect.py * Add --edgetpu for Edge TPU detection * Fix --img-size to add rectangle TensorFlow and TFLite input * Add --no-tf-nms to detect objects using models combined with TensorFlow NMS * Fix --img-size list type input * Update README.md * Add Android project for TFLite inference * Upgrade TensorFlow v2.3.1 -> v2.4.0 * Disable normalization of xywh * Rewrite names init in detect.py * Change input resolution 640 -> 320 on Android * Disable NNAPI * Update README.me --img 640 -> 320 * Update README.me for Edge TPU * Update README.md * Fix reshape dim to support dynamic batching * Fix reshape dim to support dynamic batching * Add epsilon argument in tf_BN, which is different between TF and PT * Set stride to None if not using PyTorch, and do not warmup without PyTorch * Add list support in check_img_size() * Add list input support in detect.py * sys.path.append('./') to run from yolov5/ * Add int8 quantization support for TensorFlow 2.5 * Add get_coco128.sh * Remove --no-tfl-detect in models/tf.py (Use tf-android-tfl-detect branch for EdgeTPU) * Update requirements.txt * Replace torch.load() with attempt_load() * Update requirements.txt * Add --tf-raw-resize to set half_pixel_centers=False * Remove android directory * Update README.md * Update README.md * Add multiple OS support for EdgeTPU detection * Fix export and detect * Export 3 YOLO heads with Edge TPU models * Remove xywh denormalization with Edge TPU models in detect.py * Fix saved_model and pb detect error * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Fix pre-commit.ci failure * Add edgetpu in export.py docstring * Fix Edge TPU model detection exported by TF 2.7 * Add class names for TF/TFLite in DetectMultibackend * Fix assignment with nl in TFLite Detection * Add check when getting Edge TPU compiler version * Add UTF-8 encoding in opening --data file for Windows * Remove redundant TensorFlow import * Add Edge TPU in export.py's docstring * Add the detect layer in Edge TPU model conversion * Default `dnn=False` * Cleanup data.yaml loading * Update detect.py * Update val.py * Comments and generalize data.yaml names Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: unknown <fangjiacong@ut.cn> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Enable AdamW optimizer (ultralytics#6152) * Update export format docstrings (ultralytics#6151) * Update export documentation * Cleanup * Update export.py * Update README.md * Update README.md * Update README.md * Update README.md * Update README.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update README.md * Update README.md * Update README.md * Update train.py * Update train.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update greetings.yml (ultralytics#6165) * [pre-commit.ci] pre-commit suggestions (ultralytics#6177) updates: - [github.com/pre-commit/pre-commit-hooks: v4.0.1 → v4.1.0](pre-commit/pre-commit-hooks@v4.0.1...v4.1.0) - [github.com/asottile/pyupgrade: v2.23.1 → v2.31.0](asottile/pyupgrade@v2.23.1...v2.31.0) - [github.com/PyCQA/isort: 5.9.3 → 5.10.1](PyCQA/isort@5.9.3...5.10.1) - [github.com/PyCQA/flake8: 3.9.2 → 4.0.1](PyCQA/flake8@3.9.2...4.0.1) Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update NMS `max_wh=7680` for 8k images (ultralytics#6178) * Add OpenVINO inference (ultralytics#6179) * Ignore `*_openvino_model/` dir (ultralytics#6180) * Global export format sort (ultralytics#6182) * Global export sort * Cleanup * Fix TorchScript on mobile export (ultralytics#6183) * fix export of TorchScript on mobile * Cleanup Co-authored-by: yinrong <yinrong@xiaomi.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * TensorRT 7 `anchor_grid` compatibility fix (ultralytics#6185) * fix: TensorRT 7 incompatiable * Add comment * Add if: else and comment Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add `tensorrt>=7.0.0` checks (ultralytics#6193) * Add `tensorrt>=7.0.0` checks * Update export.py * Update common.py * Update export.py * Add CoreML inference (ultralytics#6195) * Add Apple CoreML inference * Cleanup * Fix `nan`-robust stream FPS (ultralytics#6198) Fix for Webcam stop working suddenly (Issue ultralytics#6197) * Edge TPU compiler comment (ultralytics#6196) * Edge TPU compiler comment * 7 to 8 fix * TFLite `--int8` 'flatbuffers==1.12' fix (ultralytics#6216) * TFLite `--int8` 'flatbuffers==1.12' fix Temporary workaround for TFLite INT8 export. * Update export.py * Update export.py * TFLite `--int8` 'flatbuffers==1.12' fix 2 (ultralytics#6217) * TFLite `--int8` 'flatbuffers==1.12' fix 2 Reorganizes ultralytics#6216 fix to update before `tensorflow` import so no restart required. * Update export.py * Add `edgetpu_compiler` checks (ultralytics#6218) * Add `edgetpu_compiler` checks * Update export.py * Update export.py * Update export.py * Update export.py * Update export.py * Update export.py * Attempt `edgetpu-compiler` autoinstall (ultralytics#6223) * Attempt `edgetpu-compiler` autoinstall Attempt to install edgetpu-compiler dependency if missing on Linux. * Update export.py * Update export.py * Update README speed reproduction command (ultralytics#6228) * Update P2-P7 `models/hub` variants (ultralytics#6230) * Update p2-p7 `models/hub` variants * Update common.py * AutoAnchor camelcase corrections * TensorRT 7 export fix (ultralytics#6235) * Fix `cmd` string on `tfjs` export (ultralytics#6243) * Fix cmd string on tfjs export * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * TensorRT pip install * Enable ONNX `--half` FP16 inference (ultralytics#6268) * Enable ONNX ``--half` FP16 inference * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update `export.py` with Detect, Validate usages (ultralytics#6280) * Add `is_kaggle()` function (ultralytics#6285) * Add `is_kaggle()` function Return True if environment is Kaggle Notebook. * Remove root loggers only if is_kaggle() == True * Update general.py * Fix `device` count check (ultralytics#6290) * Fix device count check() * Update torch_utils.py * Update torch_utils.py * Update hubconf.py * Fixing bug multi-gpu training (ultralytics#6299) * Fixing bug multi-gpu training This solves this issue: ultralytics#6297 (comment) * Update torch_utils.py for pep8 * `select_device()` cleanup (ultralytics#6302) * `select_device()` cleanup * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Fix `train.py` parameter groups desc error (ultralytics#6318) * Fix `train.py` parameter groups desc error * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Remove `dataset_stats()` autodownload capability (ultralytics#6303) * Remove `dataset_stats()` autodownload capability @kalenmike security update per Slack convo * Update datasets.py * Console corrupted -> corrupt (ultralytics#6338) * Console corrupted -> corrupt Minor style changes. * Update export.py * TensorRT `assert im.device.type != 'cpu'` on export (ultralytics#6340) * TensorRT `assert im.device.type != 'cpu'` on export * Update export.py * `export.py` return exported files/dirs (ultralytics#6343) * `export.py` return exported files/dirs * Path to str * Created using Colaboratory * `export.py` automatic `forward_export` (ultralytics#6352) * `export.py` automatic `forward_export` * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * New environment variable `VERBOSE` (ultralytics#6353) New environment variable `VERBOSE` * Reuse `de_parallel()` rather than `is_parallel()` (ultralytics#6354) * `DEVICE_COUNT` instead of `WORLD_SIZE` to calculate `nw` (ultralytics#6324) * Flush callbacks when on `--evolve` (ultralytics#6374) * log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * FROM nvcr.io/nvidia/pytorch:21.12-py3 (ultralytics#6377) * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6379) 21.12 generates dockerhub errors so rolling back to 21.10 with latest pytorch install. Not sure if this torch install will work on non-GPU dockerhub autobuild so this is an experiment. * Add `albumentations` to Dockerfile (ultralytics#6392) * Add `stop_training=False` flag to callbacks (ultralytics#6365) * New flag 'stop_training' in util.callbacks.Callbacks class to prematurely stop training from callback handler * Removed most of the new checks, leaving only the one after calling 'on_train_batch_end' * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add `detect.py` GIF video inference (ultralytics#6410) * Add detect.py GIF video inference * Cleanup * Update `greetings.yaml` email address (ultralytics#6412) * Update `greetings.yaml` email address * Update greetings.yml * Rename logger from 'utils.logger' to 'yolov5' (ultralytics#6421) * Gave a more explicit name to the logger * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Prefer `tflite_runtime` for TFLite inference if installed (ultralytics#6406) * import tflite_runtime if tensorflow not installed * rename tflite to tfli * Attempt tflite_runtime for all TFLite workflows Also rename tfli to tfl Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update workflows (ultralytics#6427) * Workflow updates * quotes fix * best to weights fix * Namespace `VERBOSE` env variable to `YOLOv5_VERBOSE` (ultralytics#6428) * Verbose updates * Verbose updates * Add `*.asf` video support (ultralytics#6436) * Revert "Remove `dataset_stats()` autodownload capability (ultralytics#6303)" (ultralytics#6442) This reverts commit 3119b2f. * Fix `select_device()` for Multi-GPU (ultralytics#6434) * Fix `select_device()` for Multi-GPU Possible fix for ultralytics#6431 * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update torch_utils.py * Update * Update * Update * Update * Update * Update * Update * Update * Update * Fix2 `select_device()` for Multi-GPU (ultralytics#6461) * Fix2 select_device() for Multi-GPU * Cleanup * Cleanup * Simplify error message * Improve assert * Update torch_utils.py * Add Product Hunt social media icon (ultralytics#6464) * Social media icons update * fix URL * Update README.md * Resolve dataset paths (ultralytics#6489) * Simplify TF normalized to pixels (ultralytics#6494) * Improved `export.py` usage examples (ultralytics#6495) * Improved `export.py` usage examples * Cleanup * CoreML inference fix `list()` -> `sorted()` (ultralytics#6496) * Suppress `torch.jit.TracerWarning` on export (ultralytics#6498) * Suppress torch.jit.TracerWarning TracerWarnings can be safely ignored. * Cleanup * Suppress export.run() TracerWarnings (ultralytics#6499) Suppresses warnings when calling export.run() directly, not just CLI python export.py. Also adds Requirements examples for CPU and GPU backends * W&B: Remember batchsize on resuming (ultralytics#6512) * log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve * remember batch size on resuming * Update train.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Update hyp.scratch-high.yaml (ultralytics#6525) Update `lrf: 0.1`, tested on YOLOv5x6 to 55.0 mAP@0.5:0.95, slightly higher than current. * TODO issues exempt from stale action (ultralytics#6530) * Update val_batch*.jpg for Chinese fonts (ultralytics#6526) * Update plots for Chinese fonts * make is_chinese() non-str safe * Add global FONT * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update general.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Social icons after text (ultralytics#6473) * Social icons after text * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update README.md Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Edge TPU compiler `sudo` fix (ultralytics#6531) * Edge TPU compiler sudo fix Allows for auto-install of Edge TPU compiler on non-sudo systems like the YOLOv5 Docker image. @kalenmike * Update export.py * Update export.py * Update export.py * Edge TPU export 'list index out of range' fix (ultralytics#6533) * Edge TPU `tf.lite.experimental.load_delegate` fix (ultralytics#6536) * Edge TPU `tf.lite.experimental.load_delegate` fix Fix attempt for ultralytics#6535 * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fixing minor multi-streaming issues with TensoRT engine (ultralytics#6504) * Update batch-size in model.warmup() + indentation for logging inference results * These changes are in response to PR comments * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Load checkpoint on CPU instead of on GPU (ultralytics#6516) * Load checkpoint on CPU instead of on GPU * refactor: simplify code * Cleanup * Update train.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * flake8: code meanings (ultralytics#6481) * Fix 6 Flake8 issues (ultralytics#6541) * F541 * F821 * F841 * E741 * E302 * E722 * Apply suggestions from code review * Update general.py * Update datasets.py * Update export.py * Update plots.py * Update plots.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Edge TPU TF imports fix (ultralytics#6542) * Edge TPU TF imports fix Fix for ultralytics#6535 (comment) * Update common.py * Move trainloader functions to class methods (ultralytics#6559) * Move trainloader functions to class methods * results = ThreadPool(NUM_THREADS).imap(self.load_image, range(n)) * Cleanup * Improved AutoBatch DDP error message (ultralytics#6568) * Improved AutoBatch DDP error message * Cleanup * Fix zero-export handling with `if any(f):` (ultralytics#6569) * Fix zero-export handling with `if any(f):` Partial fix for ultralytics#6563 * Cleanup * Fix `plot_labels()` colored histogram bug (ultralytics#6574) * Fix `plot_labels()` colored histogram bug * Cleanup * Allow custom` --evolve` project names (ultralytics#6567) * Update train.py As see in ultralytics#6463, modification on train in evolve process to allow custom save directory. * fix val * PEP8 whitespace around operator * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add `DATASETS_DIR` global in general.py (ultralytics#6578) * return `opt` from `train.run()` (ultralytics#6581) * Fix YouTube dislike button bug in `pafy` package (ultralytics#6603) Per ultralytics#6583 (comment) by @alicera * Update train.py * Fix `hyp_evolve.yaml` indexing bug (ultralytics#6604) * Fix `hyp_evolve.yaml` indexing bug Bug caused hyp_evolve.yaml to display latest generation result rather than best generation result. * Update plots.py * Update general.py * Update general.py * Update general.py * Fix `ROOT / data` when running W&B `log_dataset()` (ultralytics#6606) * Fix missing data folder when running log_dataset * Use ROOT/'data' * PEP8 whitespace * YouTube dependency fix `youtube_dl==2020.12.2` (ultralytics#6612) Per ultralytics#5860 (comment) by @hdnh2006 * Add YOLOv5n to Reproduce section (ultralytics#6619) * W&B: Improve resume stability (ultralytics#6611) * log best.pt metrics at train end * update * Update __init__.py * flush callbacks when using evolve * remember batch size on resuming * Update train.py * improve stability of resume Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * W&B: don't log media in evolve (ultralytics#6617) * YOLOv5 Export Benchmarks (ultralytics#6613) * Add benchmarks.py * Update * Add requirements * Updates * Updates * Updates * Updates * Updates * Updates * dataset autodownload from root * Update * Redirect to /dev/null * sudo --help * Cleanup * Add exports pd df * Updates * Updates * Updates * Cleanup * dir handling fix * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Cleanup * Cleanup2 * Cleanup3 * Cleanup model_type Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fix ConfusionMatrix scale `vmin=0.0` (ultralytics#6638) Fix attempt for ultralytics#6626 * Fixed wandb logger KeyError (ultralytics#6637) * Fix yolov3.yaml remove list (ultralytics#6655) Per ultralytics/yolov3#1887 (comment) * Validate with 2x `--workers` (ultralytics#6658) * Validate with 2x `--workers` single-GPU/CPU fix (ultralytics#6659) Fix for ultralytics#6658 for single-GPU and CPU training use cases * Add `--cache val` (ultralytics#6663) New `--cache val` argument will cache validation set only into RAM. Should help multi-GPU training speeds without consuming as much RAM as full `--cache ram`. * Robust `scipy.cluster.vq.kmeans` too few points (ultralytics#6668) * Handle `scipy.cluster.vq.kmeans` too few points Resolves ultralytics#6664 * Update autoanchor.py * Cleanup * Update Dockerfile `torch==1.10.2+cu113` (ultralytics#6669) * FROM nvcr.io/nvidia/pytorch:22.01-py3 (ultralytics#6670) * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6671) 22.10 returns 'no space left on device' error message. Seems like a bug at docker. Raised issue in docker/hub-feedback#2209 * Update Dockerfile reorder installs (ultralytics#6672) Also `nvidia-tensorboard-plugin-dlprof`, `nvidia-tensorboard` are no longer installed in NVCR base. * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6673) Reordered installation may help reduce resource usage in autobuild * FROM nvcr.io/nvidia/pytorch:21.10-py3 (ultralytics#6677) Revert to 21.10 on autobuild fail * Fix TF exports >= 2GB (ultralytics#6292) * Fix exporting saved_model: pb exceeds 2GB * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Replace TF v1.x API with TF v2.x API for saved_model export * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Clean up * Remove lambda in tf.function() * Revert "Remove lambda in tf.function()" to be compatible with TF v2.4 This reverts commit 46c7931f11dfdea6ae340c77287c35c30b9e0779. * Fix for pre-commit.ci * Cleanup1 * Cleanup2 * Backwards compatibility update * Update common.py * Update common.py * Cleanup3 Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Fix `--evolve --bucket gs://...` (ultralytics#6698) * Fix CoreML P6 inference (ultralytics#6700) * Fix CoreML P6 inference * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Fix floating point in number of workers `nw` (ultralytics#6701) Integer division by a float yields a (rounded) float. This causes the dataloader to crash when creating a range. * Edge TPU inference fix (ultralytics#6686) * refactor: use edgetpu flag * fix: remove bitwise and assignation to tflite * Cleanup and fix tflite * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Use `export_formats()` in export.py (ultralytics#6705) * Use `export_formats()` in export.py * list fix * Suppress `torch` AMP-CPU warnings (ultralytics#6706) This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5. Resolves ultralytics#6692 * Update `nw` to `max(nd, 1)` (ultralytics#6714) * GH: add PR template (ultralytics#6482) * GH: add PR template * Update CONTRIBUTING.md * Update PULL_REQUEST_TEMPLATE.md * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md * Update PULL_REQUEST_TEMPLATE.md Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Switch default LR scheduler from cos to linear (ultralytics#6729) * Switch default LR scheduler from cos to linear Based on empirical results of training both ways on all YOLOv5 models. * linear bug fix * Updated VOC hyperparameters (ultralytics#6732) * Update hyps * Update hyp.VOC.yaml * Update pathlib * Update hyps * Update hyps * Update hyps * Update hyps * YOLOv5 v6.1 release (ultralytics#6739) * Pre-commit table fix (ultralytics#6744) * Update tutorial.ipynb (2 CPUs, 12.7 GB RAM, 42.2/166.8 GB disk) (ultralytics#6767) * Update min warmup iterations from 1k to 100 (ultralytics#6768) * Default `OMP_NUM_THREADS=8` (ultralytics#6770) * Update tutorial.ipynb (ultralytics#6771) * Update hyp.VOC.yaml (ultralytics#6772) * Fix export for 1-channel images (ultralytics#6780) Export failed for 1-channel input shape, 1-liner fix * Update EMA decay `tau` (ultralytics#6769) * Update EMA * Update EMA * ratio invert * fix ratio invert * fix2 ratio invert * warmup iterations to 100 * ema_k * implement tau * implement tau * YOLOv5s6 params FLOPs fix (ultralytics#6782) * Update PULL_REQUEST_TEMPLATE.md (ultralytics#6783) * Update autoanchor.py (ultralytics#6794) * Update autoanchor.py * Update autoanchor.py * Update sweep.yaml (ultralytics#6825) * Update sweep.yaml Changed focal loss gamma search range between 1 and 4 * Update sweep.yaml lowered the min value to match default * AutoAnchor improved initialization robustness (ultralytics#6854) * Update AutoAnchor * Update AutoAnchor * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Add `*.ts` to `VID_FORMATS` (ultralytics#6859) * Update `--cache disk` deprecate `*_npy/` dirs (ultralytics#6876) * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Updates * Cleanup * Cleanup * Update yolov5s.yaml (ultralytics#6865) * Update yolov5s.yaml * Update yolov5s.yaml Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Default FP16 TensorRT export (ultralytics#6798) * Assert engine precision ultralytics#6777 * Default to FP32 inputs for TensorRT engines * Default to FP16 TensorRT exports ultralytics#6777 * Remove wrong line ultralytics#6777 * Automatically adjust detect.py input precision ultralytics#6777 * Automatically adjust val.py input precision ultralytics#6777 * Add missing colon * Cleanup * Cleanup * Remove default trt_fp16_input definition * Experiment * Reorder detect.py if statement to after half checks * Update common.py * Update export.py * Cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Bump actions/setup-python from 2 to 3 (ultralytics#6880) Bumps [actions/setup-python](https://github.com/actions/setup-python) from 2 to 3. - [Release notes](https://github.com/actions/setup-python/releases) - [Commits](actions/setup-python@v2...v3) --- updated-dependencies: - dependency-name: actions/setup-python dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump actions/checkout from 2 to 3 (ultralytics#6881) Bumps [actions/checkout](https://github.com/actions/checkout) from 2 to 3. - [Release notes](https://github.com/actions/checkout/releases) - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) - [Commits](actions/checkout@v2...v3) --- updated-dependencies: - dependency-name: actions/checkout dependency-type: direct:production update-type: version-update:semver-major ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Fix TRT `max_workspace_size` deprecation notice (ultralytics#6856) * Fix TRT `max_workspace_size` deprecation notice * Update export.py * Update export.py * Update bytes to GB with bitshift (ultralytics#6886) * Move `git_describe()` to general.py (ultralytics#6918) * Move `git_describe()` to general.py * Move `git_describe()` to general.py * PyTorch 1.11.0 compatibility updates (ultralytics#6932) Resolves `AttributeError: 'Upsample' object has no attribute 'recompute_scale_factor'` first raised in ultralytics#5499 * Optimize PyTorch 1.11.0 compatibility update (ultralytics#6933) * Allow 3-point segments (ultralytics#6938) May resolve ultralytics#6931 * Fix PyTorch Hub export inference shapes (ultralytics#6949) May resolve ultralytics#6947 * DetectMultiBackend() `--half` handling (ultralytics#6945) * DetectMultiBackend() `--half` handling * CI fixes * rename .half to .fp16 to avoid conflict * warmup fix * val update * engine update * engine update * Update Dockerfile `torch==1.11.0+cu113` (ultralytics#6954) * New val.py `cuda` variable (ultralytics#6957) * New val.py `cuda` variable Fix for ONNX GPU val. * Update val.py * DetectMultiBackend() return `device` update (ultralytics#6958) Fixes ONNX validation that returns outputs on CPU. * Tensor initialization on device improvements (ultralytics#6959) * Update common.py speed improvements Eliminate .to() ops where possible for reduced data transfer overhead. Primarily affects warmup and PyTorch Hub inference. * Updates * Updates * Update detect.py * Update val.py * EdgeTPU optimizations (ultralytics#6808) * removed transpose op for better edgetpu support * fix for training case * enabled experimental new quantizer flag * precalculate add and mul ops at compile time Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Model `ema` key backward compatibility fix (ultralytics#6972) Fix for older model loading issue in ultralytics@d3d9cbc#commitcomment-68622388 * pt model to cpu on TF export * YOLOv5 Export Benchmarks for GPU (ultralytics#6963) * Add benchmarks.py GPU support * Updates * Updates * Updates * Updates * Add --half * Add TRT requirements * Cleanup * Add TF to warmup types * Update export.py * Update export.py * Update benchmarks.py * Update TQDM bar format (ultralytics#6988) * Conditional `Timeout()` by OS (disable on Windows) (ultralytics#7013) * Conditional `Timeout()` by OS (disable on Windows) * Update general.py * fix: add default PIL font as fallback (ultralytics#7010) * fix: add default font as fallback Add default font as fallback if the downloading of the Arial.ttf font fails for some reason, e.g. no access to public internet. * Update plots.py Co-authored-by: Maximilian Strobel <Maximilian.Strobel@infineon.com> Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Consistent saved_model output format (ultralytics#7032) * `ComputeLoss()` indexing/speed improvements (ultralytics#7048) * device as class attribute * Update loss.py * Update loss.py * improve zeros * tensor split * Update Dockerfile to `git clone` instead of `COPY` (ultralytics#7053) Resolves git command errors that currently happen in image, i.e.: ```bash root@382ae64aeca2:/usr/src/app# git pull Warning: Permanently added the ECDSA host key for IP address '140.82.113.3' to the list of known hosts. git@github.com: Permission denied (publickey). fatal: Could not read from remote repository. Please make sure you have the correct access rights and the repository exists. ``` * Create SECURITY.md (ultralytics#7054) * Create SECURITY.md Resolves ultralytics#7052 * Move into ./github * Update SECURITY.md * Fix incomplete URL substring sanitation (ultralytics#7056) Resolves code scanning alert in ultralytics#7055 * Use PIL to eliminate chroma subsampling in crops (ultralytics#7008) * use pillow to save higher-quality jpg (w/o color subsampling) * Cleanup and doc issue Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Fix `check_anchor_order()` in pixel-space not grid-space (ultralytics#7060) * Update `check_anchor_order()` Use mean area per output layer for added stability. * Check in pixel-space not grid-space fix * Update detect.py non-inplace with `y.tensor_split()` (ultralytics#7062) * Update common.py lists for tuples (ultralytics#7063) Improved profiling. * Update W&B message to `LOGGER.info()` (ultralytics#7064) * Update __init__.py (ultralytics#7065) * Add non-zero `da` `check_anchor_order()` condition (ultralytics#7066) * Fix2 `check_anchor_order()` in pixel-space not grid-space (ultralytics#7067) Follows ultralytics#7060 which provided only a partial solution to this issue. ultralytics#7060 resolved occurences in yolo.py, this applies the same fix in autoanchor.py. * Revert "Update detect.py non-inplace with `y.tensor_split()` (ultralytics#7062)" (ultralytics#7074) This reverts commit d5e363f. * Update loss.py with `if self.gr < 1:` (ultralytics#7087) * Update loss.py with `if self.gr < 1:` * Update loss.py * Update loss for FP16 `tobj` (ultralytics#7088) * Update model summary to display model name (ultralytics#7101) * `torch.split()` 1.7.0 compatibility fix (ultralytics#7102) * Update loss.py * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Update loss.py Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> * Update benchmarks significant digits (ultralytics#7103) * Model summary `pathlib` fix (ultralytics#7104) Stems not working correctly for YOLOv5l with current .rstrip() implementation. After fix: ``` YOLOv5l summary: 468 layers, 46563709 parameters, 46563709 gradients, 109.3 GFLOPs ``` * Remove named arguments where possible (ultralytics#7105) * Remove named arguments where possible Speed improvements. * Update yolo.py * Update yolo.py * Update yolo.py * Multi-threaded VisDrone and VOC downloads (ultralytics#7108) * Multi-threaded VOC download * Update VOC.yaml * Update * Update general.py * Update general.py * `np.fromfile()` Chinese image paths fix (ultralytics#6979) * 🎉 🆕 now can read Chinese image path. use "cv2.imdecode(np.fromfile(f, np.uint8), cv2.IMREAD_COLOR)" instead of "cv2.imread(f)" for Chinese image path. * Update datasets.py * Update __init__.py Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com> * Add PyTorch Hub `results.save(labels=False)` option (ultralytics#7129) Resolves ultralytics#388 (comment) * SparseML integration * Add SparseML dependancy * Update: add missing files * Update requirements.txt * Update: sparseml-nightly support * Update: remove model versioning * Partial update for multi-stage recipes * Update: multi-stage recipe support * Update: remove sparseml dep * Fix: multi-stage recipe handeling * Fix: multi stage support * Fix: non-recipe runs * Add: legacy hyperparam files * Fix: add copy-paste to hyps * Fix: nit * apply structure fixes * Squashed rebase to v6.1 upstream * Update SparseML Integration to V6.1 (#26) * SparseML integration * Add SparseML dependancy * Update: add missing files * Update requirements.txt * Update: sparseml-nightly support * Update: remove model versioning * Partial update for multi-stage recipes * Update: multi-stage recipe support * Update: remove sparseml dep * Fix: multi-stage recipe handeling * Fix: multi stage support * Fix: non-recipe runs * Add: legacy hyperparam files * Fix: add copy-paste to hyps * Fix: nit * apply structure fixes * manager fixes * Update function name Co-authored-by: Konstantin <konstantin@neuralmagic.com> Co-authored-by: Konstantin Gulin <66528950+KSGulin@users.noreply.github.com>
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Aug 26, 2022
This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5. Resolves ultralytics#6692
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This is a torch bug, but they seem unable or unwilling to fix it so I'm creating a suppression in YOLOv5.
Resolves #6692
🛠️ PR Summary
Made with ❤️ by Ultralytics Actions
🌟 Summary
Enhancement of model training stability by suppressing irrelevant PyTorch warnings and refining ModelEMA documentation.
📊 Key Changes
ModelEMAclass to better explain its purpose and provide references.🎯 Purpose & Impact
ModelEMAprovides clearer guidance on its use and significance, potentially improving understandability for developers utilizing this module in their training pipelines.