I am trying to make human detection using YOLOv4 on Colab. The code includes this lines:
import cv2
net =cv2.dnn.readNetFromDarknet(yolo_config_path,yolo_weights_path)
if cuda:
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)
However, if I run this cell directly on Colab, I encounter an error like this:
Traceback (most recent call last):
File "run_yolo.py", line 26, in <module>
net =cv2.dnn.readNetFromDarknet(yolo_config_path,yolo_weights_path)
cv2.error: OpenCV(4.1.2) /io/opencv/modules/dnn/src/darknet/darknet_io.cpp:554: error: (-212:Parsing error) Unsupported activation: mish in function 'ReadDarknetFromCfgStream'
I run this cell to avoid the error:
%cd /content
!git clone https://github.com/opencv/opencv
!git clone https://github.com/opencv/opencv_contrib
!mkdir /content/build
%cd /content/build
!cmake -DOPENCV_EXTRA_MODULES_PATH=/content/opencv_contrib/modules -DBUILD_SHARED_LIBS=OFF -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_EXAMPLES=OFF -DWITH_OPENEXR=OFF -DWITH_CUDA=ON -DWITH_CUBLAS=ON -DWITH_CUDNN=ON -DOPENCV_DNN_CUDA=ON /content/opencv
!make -j8 install
When I write this line:
import cv2
cv2.__version__
The result is 4.5.1-dev.
But when I run the code, cv2 is OpenCV(4.1.2). How can I solve this problem?