Raphael Meudec

Now that training loop is nearly done, we need to evaluate how our implementation is doing vs popular datasets (I'm thinking Pascal VOC and COCO) in terms of AP, mAP,...

This error happens if the `BOUNDING_BOXES_FIXED_NUMBER` is not large enough and you have an image in your dataset that has a larger number of annotations than the padding number.

I can't do this: ```python from tf2_yolov4 import YOLOv4 ``` When I do this, it fails: ```python import tf2_yolov4 yolo_model = tf2_yolov4.model.YOLOv4 ``` I think it's related to our __init__...

- [ ] Add YOLO Loss from YOLOv3 - [ ] Convert box annotations to a format adapted to the YOLO loss - [ ] Load a training set from...

Add data augmentation to the training pipeline

For now, it is difficult to generate the h5 file and load it into our model. This issue should tackle: - [ ] Automatic download of the AlexeyAB/darknet weights -...