mAP_eval (In progress)

Goals:

1. Convert Yolo Darknet Ground Truth Files to pycocotools json (Done)
2. Convert Yolo Darknet Detection Files to pycocotools json (Done)
3. Convert Yolo Darknet Ground Truth/Detection Files to /groundtruths /detections folder usable by rafaelpadilla/Object-Detection-Metrics
4. Customizable Ground Truth/Detection format for custom datasets

Current state: Verifying mAP for the 5k validation dataset with results generated from AlexeyAB/darknet .
./darknet detector test cfg/coco.data cfg/yolov3.cfg yolov3.weights -thresh 0.005 -dont_show -ext_output < /5k.txt > result.txt

Refer to demo.ipynb for details

References

1. AlexeyAB/darknet
2. rafaelpadilla/Object-Detection-Metrics
3. Cartucho/mAP
4. cocodataset/cocoapi