claudehang
claudehang
That was a easy fix. But then I came across something not right: ``` make: *** No rule to make target `.build_release/src/caffe/test/test_augment.o', needed by `.build_release/test/test_augment.testbin'. Stop. make: *** Waiting for...
Oh, I see and you are so nice. Actually I want to get a file that locates in directory: `build/examples/YOLO/demo_yolov3.bin` and I simply could not find it after `make all`...
The `./examples/FRCNN/*` part failed to compile and throw out error, which I took for warning. I can only delete all the file under this directory so as to proceed to...
Hello~Recently I am curious about something of YOLOv3 in your code. Here is the code snippet in `./src/caffe/YOLO/yolo_layer.cpp`: ``` void forward_yolo_layer_cpu(const float* input,layer l) { //copy_gpu(l.batch*l.inputs,(float*)input,1,l.output_gpu,1); std::memcpy(l.output, (float*)input, l.batch*l.inputs*sizeof(float)); int...
Thanks man! Everything is clear after checking the source code of `Darknet`.
Hi, dude! I tried to convert yolov3 darknet model using `./examples/YOLO/darknet2caffe.py` but get this error: ``` unknow layer type yolo OrderedDict([('bottom', 'layer80-conv'), ('top', 'layer84-route'), ('name', 'layer84-route'), ('type', 'Concat')]) 84 2...
You're just brilliant. Thanks a lot!
My god, still one more error that confuses me: ``` I0719 15:40:28.297994 16478 net.cpp:243] This network produces output layer104-conv I0719 15:40:28.298002 16478 net.cpp:243] This network produces output layer82-conv I0719 15:40:28.298007...
Huge thanks for your sharing and supporting!!