Hi.
I trained a YOLOv3 model with Backbone darknet-53 in my custom dataset (2 classes) with the original implementation: https://github.com/pjreddie/darknet
After that, I converted the .weights file to .pb file with this: https://github.com/mystic123/tensorflow-yolo-v3. And then to .om model.
There are some implementation or example in .py to run inference in yolov3 with darknet backbone?
I tried to change this example https://gitee.com/ascend/samples/tree/master/python/level2_simple_inference/2_object_detection/YOLOV3_mask_detection_picture with the input of the network (416, 416), the anchor boxes and the number of classes but don't works.
How to change the postprocess function for works in yolo-darknet model?. This example was implemented in TF and Resnet18 backbone but the original implementation is missing. is it in somewhere?
Thanks for your reply
