Tag: yolo

How to rotate a rectangle/bounding box together with an image

computer-vision data-augmentation object-detection python yolo

I’m working on a data augmentation and im trying to generate synthetic version of every image in my dataset. So i need to rotate images and together with bounding boxes as well in the images. im only going to rotate images by 90, 180, 270 degrees. I’m using pascal-voc annotation format as shown here. As a result i have following

Using Yolox on an asset image doesn’t draw any detection

object-detection python training-data yolo yolov5

So I’m trying to learn how to use Yolox for my bachelor thesis, and after hours of installing and updating components, finally managed to run Yolox on a test image in the assets folder. However, when I go to the output folder, it’s the same image there, with no boxes on detected objects and I can’t understand why.. Here is

Loading YOLO: invalid index to scalar variable

machine-learning opencv python tensorflow yolo

Getting an error for IndexError: invalid index to scalar variable on the yolo_layers line. This code won’t work on my Jupyter notebook but will run fine on google collab. No idea why. Could be my python version? Answer It’s may caused by the different versions of cv2. The version of cv2 module with CUDA support will give you a 2-D

dectect video with yolov4-tiny

python yolo

so I trained a yolov4 tiny model and I predict perfectly on images with this command : and now I want to predict on video but I can manage to figure out the correct command. Answer To run detections on a video file run detector demo. In your case: !.darknet detector demo build/darknet/x64/cfg/custom-yolov4-tiny-detector.cfg build/darknet/x64/backup/custom-yolov4-tiny-detector_final.weights -ext_output build/darknet/x64/data/obj/your_video.mp4 -dont_show If you want

Labelimg crashes when attempting to export YOLO training samples

anaconda conda labelimg python yolo

I’m pretty new to Python and labeling data for deep learning. I have installed Labelimg program in order to label a custom dataset, but it keeps crashing when I create YOLO training samples. Each time I open the program and specify the image directory, I can browse through the images, but when I create my bounding boxes and try to

Couldn’t open file yolov3_custom_last.weights when trying to run darknet detection

deep-learning google-colaboratory python yolo

I’ve been trying to use YOLO (v3) to implement and train an object detection of Tank with OpenImage dataset. I have tried to get help from this tutorial and my code pretty much looks like it. Also I’m using Google Colab and Google Drive services. everything is going fine through my program. But I hit an error at the final