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[PaddlePaddle Hackathon] Task 66 #4317

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merged 18 commits into from
Oct 20, 2021

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gbstack
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@gbstack gbstack commented Oct 15, 2021

PR types

New features

PR changes

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Describe

你好,
该PR根据 #4225 添加了多尺度测试

使用方法

在配置文件中添加MultiscaleTestResize配置,具体使用方法可以参考新添加的配置文件:configs/faster_rcnn/faster_rcnn_r34_fpn_multiscaletest_1x_coco.yml

测试方法

评估

python tools/eval.py --config configs/faster_rcnn/faster_rcnn_r34_fpn_multiscaletest_1x_coco.yml -o weights=/home/gbstack/Downloads/faster_rcnn_r34_fpn_1x_coco.pdparams

(该测试使用了backbone为resnet34的faster rcnn配置,需要修改上面的权重文件为正确位置)

预测

tools/infer.py --config configs/faster_rcnn/faster_rcnn_r34_fpn_multiscaletest_1x_coco.yml --infer_img=/dataset/coco2017/val2017/000000000139.jpg -o weights=/home/gbstack/Downloads/faster_rcnn_r34_fpn_1x_coco.pdparams

评估效果对比

根据上面的配置文件的配置(resnet34-faster-rcnn-fpn)在coco2017验证集上进行评估

多尺度

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.382
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.588
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.416
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.217
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.413
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.512
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.320
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.504
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.530
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.334
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.564
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.680
[10/15 13:50:21] ppdet.engine INFO: Total sample number: 4952, averge FPS: 5.121671015456265

单尺度

Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.378
Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.586
Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.412
Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.219
Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.410
Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.483
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.314
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.496
Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.521
Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.333
Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = 0.558
Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.646
[10/15 14:07:58] ppdet.engine INFO: Total sample number: 4952, averge FPS: 15.107217863848637

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需要增加multiscale-test的使用文档

@@ -97,7 +97,11 @@ def update(self, inputs, outputs):
for k, v in outputs.items():
outs[k] = v.numpy() if isinstance(v, paddle.Tensor) else v

im_id = inputs['im_id']
# multi-scale inputs: all inputs have same im_id
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这里是否只支持batch size=1?

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是的,只支持batch size 1。因为我看到静态图的实现好像也是batch size 1,就和他一致了

static/ppdet/utils/post_process.py:207

def mstest_box_post_process(result, config, num_classes):
    """
    Multi-scale Test
    Only available for batch_size=1 now.
    """
    post_bbox = {}
    use_flip = False


def merge_multi_scale_predictions(self, outs):
# default values for architectures not included in following list
num_classes = 80
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这里RCNN是否可以统一使用bbox_post_process中nms的参数
另外num_classe能否可以调整成输入参数

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好的,新提交的代码已修改为统一使用bbox_post_process中nms的参数。

您说的num_classe调整成输入参数,是指从配置文件里面配置吗?如果是配置文件的话,现在的num_classes会使用配置文件中的BBoxHead.num_classes值

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现在是否仅支持rcnn系列模型做ms-test,是的话可以在这里给出提示信息

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是的。最新的提交版本已添加了错误信息

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需要增加multiscale-test的使用文档和限定条件

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gbstack commented Oct 18, 2021

最新的版本添加了使用文档(位置在docs/tutorials/config_annotation/multi_scale_test_config.md),您看是否合适呢

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gbstack commented Oct 18, 2021

加一下单测吧,加到ppdet/modeling/tests目录下,可以参考下https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/ppdet/modeling/tests/test_architectures.py 或者 https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/ppdet/modeling/tests/test_ops.py

好的,测试文件已添加(位于ppdet/modeling/tests/test_mstest.py)

cfg = load_config(self.mstest_cfg_file)
trainer = Trainer(cfg, mode='test')

if not os.path.exists(cfg.weights):
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权重使用https://paddledet.bj.bcebos.com/models/faster_rcnn_r34_fpn_1x_coco.pdparams
测试图片放在test文件夹中并使用相对路径

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好的,最新的提交版本已修改


`target_size: [700 , 900]` property is used to specify different scales.

It can be plugged into evaluation process or test (inference) process, by adding `MultiscaleTestResize` entry to `EvalReader.sample_transforms` or `TestReader.sample_transforms`
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说明目前支持rcnn系列模型,并且batch_size要求为1

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好的,最新的提交版本已修改

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gbstack commented Oct 19, 2021

加一下单测吧,加到ppdet/modeling/tests目录下,可以参考下https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/ppdet/modeling/tests/test_architectures.py 或者 https://github.com/PaddlePaddle/PaddleDetection/blob/release/2.2/ppdet/modeling/tests/test_ops.py

好的,测试文件已添加(位于ppdet/modeling/tests/test_mstest.py)

@@ -58,15 +58,21 @@ def __call__(self, samples, context=None):
"""
coarsest_stride = self.pad_to_stride

max_shape = np.array([data['image'].shape for data in samples]).max(
# multi scale input is nested list
if type(samples) in (list, tuple) and type(samples[0]) in (list, tuple):
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isinstance(samples, typing.Sequence) and len(samples) > 0 and isinstance(samples[0], typing.Sequence)

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好的,最新的提交版本已修改

@@ -428,7 +428,11 @@ def _eval_with_loader(self, loader):
for metric in self._metrics:
metric.update(data, outs)

sample_num += data['im_id'].numpy().shape[0]
# multi-scale inputs: all inputs have same im_id
if type(data) in (list, tuple):
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同上

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好的,最新的提交版本已修改

@@ -471,7 +475,10 @@ def predict(self,
outs = self.model(data)

for key in ['im_shape', 'scale_factor', 'im_id']:
outs[key] = data[key]
if type(data) in (tuple, list):
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同上

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好的,最新的提交版本已修改

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LGTM,辛苦向develop分支也提交个pr吧

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gbstack commented Oct 20, 2021

LGTM,辛苦向develop分支也提交个pr吧

好的,已提交PR。提交PR时发生的冲突需要我去合并吗?如果需要的话,是只合并我的修改造成的冲突,还是都修改呢?(包括release/2.2分支和develop分支之间的冲突)

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jerrywgz commented Oct 20, 2021

LGTM,辛苦向develop分支也提交个pr吧

好的,已提交PR。提交PR时发生的冲突需要我去合并吗?如果需要的话,是只合并我的修改造成的冲突,还是都修改呢?(包括release/2.2和develop的冲突)

建议把改动先手动加到develop分支上再提交pr,这个分支直接向develop分支提pr的话冲突会比较多
另:这个pr已经可以合入了

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gbstack commented Oct 20, 2021

LGTM,辛苦向develop分支也提交个pr吧

好的,已提交PR。提交PR时发生的冲突需要我去合并吗?如果需要的话,是只合并我的修改造成的冲突,还是都修改呢?(包括release/2.2和develop的冲突)

建议把改动先手动加到develop分支上再提交pr,这个分支直接向develop分支提pr的话冲突会比较多 另:这个pr已经可以合入了

好的

@jerrywgz jerrywgz merged commit 47fc188 into PaddlePaddle:release/2.2 Oct 20, 2021
from ppdet.core.workspace import register
from static.ppdet.utils.post_process import nms
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不能从static文件夹中导入 nms

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好的,新提交的PR已修复 #4375

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