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TNTWEN / OpenVINO-YOLOV4

This is implementation of YOLOv4,YOLOv4-relu,YOLOv4-tiny,YOLOv4-tiny-3l,Scaled-YOLOv4 and INT8 Quantization in OpenVINO2021.3
MIT License
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Custom Yolov4 IR infer at c++ sample gives me Segmentation fault (core dumped) #61

Closed AyaNasser96 closed 2 years ago

AyaNasser96 commented 2 years ago

I've trained my own custom yolov4 (darknet) on 1 class, then convert it to onnx successfully and to IR as well, now I want to infer the IR model with c++ samples, I used those samples ( multi_channel_object_detection_demo_yolov3 and object_detection_demo) and both gives me the following error (Segmentation fault (core dumped)

image

The run code is:

./multi_channel_object_detection_demo_yolov3-m /home/aya/Deployment_project/Plate_IR/Plate_yolov4_1_3_416_416_static.xml -d CPU -i /home/aya/Deployment_project/test_samples/1.jpg OR

./object_detection_demo -m /home/aya/Deployment_project/Plate_IR/Plate_yolov4_1_3_416_416_static.xml -d CPU -i /home/aya/Deployment_project/test_samples/1.jpg -at yolo -labels /home/aya/Deployment_project/Models/Plate/Plate.txt

I use this docker image: https://hub.docker.com/r/openvino/ubuntu20_dev my cpu is: Intel® Xeon(R) CPU E5-2695 v4 @ 2.10GHz × 6

Is there anything I do wrong ?

AyaNasser96 commented 2 years ago

solved at this issue https://github.com/openvinotoolkit/open_model_zoo/issues/3150#issuecomment-1038003704