Caffe-YOLOv3-Windows
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eric612
A windows caffe implementation of YOLO detection network
Hi ！First of all, thank you for your contribution to the open source community. My English is very poor ,but i will tyy my best to Describe my problem。 I...
Hi Eric, are you able to upload the caffemodel for yolo v3 (windows)? In your link below, you have only uploaded the yolov3 lite model. https://github.com/eric612/Caffe-YOLOv3-Windows/tree/master/models/yolov3
hello ! i am use mobilenet_yolov3_lite_solver.prototxt ,mobilenet_yolov3_lite_train.prototxt and mobilenet_yolov3_lite_test.prototxt to get the caffe_model_file. train_net: "models/yolov3/mobilenet_yolov3_lite_train.prototxt" test_net: "models/yolov3/mobilenet_yolov3_lite_test.prototxt" test_iter: 4952 test_interval: 1000 base_lr: 0.0005 display: 10 max_iter: 120000 lr_policy: "multistep" gamma:...
Hi I really appreciate what you did. I successfully built this project, but when I ran "demo_yolo_lite.cmd", I got the following error: - "imagedemoOpenCV Error: Requested object was not found...
your W&H loss use MSE is as same as paper,but your X&Y&HasObject&classlabel also use MSE is not as same as paper,paper use binary_crossentropy，why?
Building NVCC (Device) object src/caffe/CMakeFiles/cuda_compile_1.dir/layers/Release/cuda_compile_1_generated_absval_layer.cu.obj nvcc fatal : Unsupported gpu architecture 'compute_90' what should i do?
in darknet 1) obj/no obj loss l.delta[obj_index] = 0 - l.output[obj_index]; // no obj diff if (best_iou > l.ignore_thresh) { l.delta[obj_index] = 0; } if (best_iou > l.truth_thresh) { l.delta[obj_index]...
first, thank you for your contribute can you provide a Non merge_bn MobileNet-YOLOv3-Lite model ?