I have a problem on using yolov3 here is the bug message: Darknet error location: ./src/dark_cuda.c, cuda_make_array, line #498 Cuda malloc failed: No such file or directory here is my cuda version enter image description here does anyone have the problem with me ? thanks for your answering Source: Python..
I am trying to train darknet yolov4-tiny on a custom dataset with 1500 images (1200) for training and 7 classes I have two problems: my iou stays constant (0.07) my MAP is very low (5%-6%). the command I am using to run darknet: !./darknet detector train ./data/obj.data cfg/yolov4-tiny-mine.cfg ./build/darknet/x64/yolov4-tiny.conv.29 -dont_show -map my yolo config file: ..
Before downvoting my question, please understand my situation and try to help me. I am using YOLOv4 Darrknet for various object detection (car, card, and numbers). And I want to send the result of real-time object detection to the C# GUI. And, I do not have any idea how to do that. I tried to ..
Actually in darknet yolov3 model has coco.names file for labels which include 80 classes. Now if I want to train a custom model with two labels only, where one label is already there in coco.names and another is not there. For example I want to train a model to detect for cell phone and dslr ..
I ran into a memory leak running detect_image(…) which is provided by darknet.py. I was detecting objects in an endless while loop. I’m using Ubuntu 20.04, Python 3.8.10, OpenCV 4.5.2 and Cuda 10.2. Source: Python-3x..
I am trying to visualize the weights layer by layer which I have saved during training of yolov3 on custom dataset.Is there any repo or code snippet to visualize the weights layer by layer? Source: Python..
I try to use the yolov4x-mish with the github repository https://github.com/theAIGuysCode/yolov4-deepsort. I obtain yolov4x-mish cfg and weights from: cfg: https://raw.githubusercontent.com/AlexeyAB/darknet/master/cfg/yolov4x-mish.cfg weights: https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4x-mish.weights I use the following command to save the model: python3.7 save_model.py –weights ./data/yolov4x-mish.weights –output ./checkpoints/yolov4x-mish-640 –input_size 640 –model yolov4 The model is generated correctly, so, I do not get any error. When I ..
I am using yolo darknet on colab for detection objects on video feed. I want to extract the class name of the object detected in each frame through some code. Anyone can guide or explain> Source: Python-3x..
I am a beginner programmer learning machine learning. I am facing some terrible issues installing darknet in my system, I have AMD rx570 in my system so Cuda won’t work for me if I can’t install Cuda and cuDNN which are prerequisites so how can I make it work in my system. Please guide me ..
What I’m trying to accomplish is to have my application "see" using a webcam, detect pre configured objects and animals and give to me the current position of them. In order to do that, from what I’ve read online, it would be better to use my GPU. That’s why I’m using darknet. I have no ..