Open huunhan312 opened 5 years ago
Hi, I took reference from this repo and made my own implementation for use in combination with the NCSes, may it help you out with what you are doing. Link is here: https://github.com/anhminh3105/YOLOw
@anhminh3105 You did a great job ! Your sharing will help me a lot !
I convert weights to pb format as following
python convert_weights_pb.py --class_names coco.names --data_format NHWC --weights_file yolov3.weights --output_graph freeze_yolov3_model.pb
However, the model optimizer cannot convert LeakyReLU to IR. Command:python mo_tf.py --input_model freeze_yolov3_model.pb --tensorflow_use_custom_operations_config extensions\front\tf\yolo_v3.json --input_shape [1,416,416,3]
And I got the problem with LeakyRelu hereModel Optimizer arguments: Common parameters:
System:
My system can run examples classification, detection of squeezenet, ssd-mobilenet well with CPU and NCS2.
Anyone please tell me any clue about this problem?
Thank you.
p/s: besides, deployment_tools\model_optimizer\extensions\front\tf only has yolo_v3.json and yolo_v1_v2.json. I cannot find yolo_v3-tiny.json as tutorial at here.