kriyeng / yolo-on-colab-notebook Goto Github PK

As mentioned
of course on Colab with local webcam !

Thank you !

I am a mac user and trying to follow your guide to train yolov3 with my dataset.
I face a problem during installing cuDNN. I used exactly the same code as below.

!tar -xzvf gdrive/My\ Drive/darknet/cuDNN/cudnn-10.0-linux-x64-v7.5.0.56.tar -C /usr/local/
!chmod a+r /usr/local/cuda/include/cudnn.h

Then I got an Error:
gzip: stdin: not in gzip format
tar: Child returned status 1
tar: Error is not recoverable: exiting now
chmod: cannot access '/usr/local/cuda/include/cudnn.h': No such file or directory

How could I fix this problem?

Hi, I just finished training Yolo v3 with my dataset. Is there anyway that I can get or generate a graph of the results?

I've tried numerous times to compile Darknet. It can clone but never is able to fully compiled. I saw darknet files created under content but could never copy it over the google drive. "cp: cannot stat './darknet': No such file or directory"

I would really appreciate anybody's help on this! Qifang

Cloning into 'darknet'...
remote: Enumerating objects: 10068, done.
remote: Total 10068 (delta 0), reused 0 (delta 0), pack-reused 10068
Receiving objects: 100% (10068/10068), 10.15 MiB | 10.53 MiB/s, done.
Resolving deltas: 100% (6732/6732), done.
/content/darknet/darknet
3rdparty CMakeLists.txt image_yolov3.sh scripts
appveyor.yml CMakeSettings.json include src
build DarknetConfig.cmake.in json_mjpeg_streams.sh video_v2.sh
build.ps1 darknet.py LICENSE video_yolov3.sh
build.sh darknet_video.py Makefile
cfg data net_cam_v3.sh
cmake image_yolov2.sh README.md
Branch 'feature/google-colab' set up to track remote branch 'feature/google-colab' from 'origin'.
Switched to a new branch 'feature/google-colab'
mkdir -p obj
mkdir -p backup
mkdir -p results
chmod +x .sh
g++ -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/image_opencv.cpp -o obj/image_opencv.o
./src/image_opencv.cpp: In function ‘void draw_detections_cv_v3(mat_cv, detection*, int, float, char**, image**, int, int)’:
./src/image_opencv.cpp:896:23: warning: variable ‘rgb’ set but not used [-Wunused-but-set-variable]
float rgb[3];
^~~
g++ -std=c++11 -Iinclude/ -I3rdparty/stb/include -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/http_stream.cpp -o obj/http_stream.o
./src/http_stream.cpp: In member function ‘bool JSON_sender::write(const char*)’:
./src/http_stream.cpp:228:21: warning: unused variable ‘n’ [-Wunused-variable]
int n = _write(client, outputbuf, outlen);
^
./src/http_stream.cpp: In member function ‘bool MJPG_sender::write(const cv::Mat&)’:
./src/http_stream.cpp:475:23: warning: comparison between signed and unsigned integer expressions [-Wsign-compare]
if (n < outlen)
~~^~~~~~~~
gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/gemm.c -o obj/gemm.o
./src/gemm.c: In function ‘convolution_2d’:
./src/gemm.c:2016:15: warning: unused variable ‘out_w’ [-Wunused-variable]
const int out_w = (w + 2 * pad - ksize) / stride + 1; // output_width=input_width for stride=1 and pad=1
^~~~~
./src/gemm.c:2015:15: warning: unused variable ‘out_h’ [-Wunused-variable]
const int out_h = (h + 2 * pad - ksize) / stride + 1; // output_height=input_height for stride=1 and pad=1
^~~~~
gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/utils.c -o obj/utils.o
gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/dark_cuda.c -o obj/dark_cuda.o
./src/dark_cuda.c: In function ‘get_cuda_stream’:
./src/dark_cuda.c:120:18: warning: unused variable ‘buffer’ [-Wunused-variable]
char buffer[256];
^~~~~~
./src/dark_cuda.c: In function ‘get_cuda_memcpy_stream’:
./src/dark_cuda.c:141:18: warning: unused variable ‘buffer’ [-Wunused-variable]
char buffer[256];
^~~~~~
./src/dark_cuda.c: In function ‘cudnn_handle’:
./src/dark_cuda.c:161:23: warning: unused variable ‘status’ [-Wunused-variable]
cudnnStatus_t status = cudnnSetStream(handle[i], get_cuda_stream());
^~~~~~
gcc -Iinclude/ -I3rdparty/stb/include -DOPENCV pkg-config --cflags opencv -DGPU -I/usr/local/cuda/include/ -DCUDNN -Wall -Wfatal-errors -Wno-unused-result -Wno-unknown-pragmas -fPIC -Ofast -DOPENCV -DGPU -DCUDNN -I/usr/local/cudnn/include -c ./src/convolutional_layer.c -o obj/convolutional_layer.o
./src/convolutional_layer.c: In function ‘cudnn_convolutional_setup’:
./src/convolutional_layer.c:277:24: error: ‘CUDNN_CONVOLUTION_FWD_PREFER_FASTEST’ undeclared (first use in this function); did you mean ‘CUDNN_CONVOLUTION_BWD_FILTER_ALGO_3’?
int forward_algo = CUDNN_CONVOLUTION_FWD_PREFER_FASTEST;
^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
CUDNN_CONVOLUTION_BWD_FILTER_ALGO_3
compilation terminated due to -Wfatal-errors.
Makefile:146: recipe for target 'obj/convolutional_layer.o' failed
make: *** [obj/convolutional_layer.o] Error 1
cp: cannot stat './darknet': No such file or directory

Hello! Is it possible to fit the network on my own class of objects or is it necessary to train from scratch here?

Hi.

I am using colab to train darknet. When I run the detector command, it is not able to read the path to train.txt file because it has white spaces in it. I tried using "Shared\ drives" as well, but it is still not working. It would be really helpful if you could help me solve this issue.

Thanks.

Error : Loading weights from darknet53.conv.74...Done!
Learning Rate: 0.001, Momentum: 0.9, Decay: 0.0005
Couldn't open file: /content/drive/Shared\drives/darknet/train.txt

I'm trying to train YOLO, but when 100 iterations reached, this message shows:

Can't save to '/content/gdrive/My\Drive/darknet/backup/yolov3-last.weights'

As you can see, the space is deleted but in my data file I set backup like this:

backup = /content/gdrive/My\ Drive/darknet/backup/yolov3-last.weights

NOTE: now I'm saving the backups to colab and manually downloading them

In short
This doesn't work (trying to use detector test on multiple images in a folder:
!./darknet detector test "/content/gdrive/My Drive/darknet/obj.data" "/content/gdrive/My Drive/darknet/cfg/yolov3.cfg" "/content/gdrive/My Drive/darknet/backup/yolov3_final.weights" -dont_show < "/content/gdrive/My Drive/darknet/test.txt"> "/content/gdrive/My Drive/darknet/result.txt"

Error messege is:
Cannot load image /content/gdrive/My Drive/darknet/imgTest/test4.jpg
Cannot load image /content/gdrive/My Drive/darknet/imgTest/test3.jpg

This does work (detect on one image, using direct path to said image):
!./darknet detector test "/content/gdrive/My Drive/darknet/obj.data" "/content/gdrive/My Drive/darknet/cfg/yolov3.cfg" "/content/gdrive/My Drive/darknet/backup/yolov3_final.weights" -dont_show "/content/gdrive/My Drive/darknet/imgTest/test4.jpg" "/content/gdrive/My Drive/darknet/result.txt"

The test.txt file consist of the same path as given in working detector test i.e.:
/content/gdrive/My Drive/darknet/imgTest/test4.jpg
No spaces or blank lines in it apart from My Drive.

All help is very much appriciated
test.txt file linked:
test.txt