play-game-with-computer-vision
ONNX-YOLOv7-Object-Detection
| play-game-with-computer-vision | ONNX-YOLOv7-Object-Detection | |
|---|---|---|
| 4 | 2 | |
| 85 | 182 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | about 1 year ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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play-game-with-computer-vision
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Making €6,147,455 Overnight in in-game currency using Computer Vision
Source code - https://github.com/paulonteri/play-game-with-computer-vision
ONNX-YOLOv7-Object-Detection
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[D] Extracting the class labels and bounding boxes for objects, from a YOLO7 model after converting to an ONNX model
Finally, I tried to look if someone has done similar work for the ONNX model and I found this repo which links the same repo I am trying to use, and I believe this function is doing exactly what I want to do, but I could not understand what it is doing (I don't understand how it knows exactly where the number of detections is, and where the bounding boxes are and the class labels, etc.) furthermore, I am not sure if removing end2end and the changing the version from 12 to 9 has any effect on the output shape or it has to do with the internal layers.
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YOLOv7 object detection in Ruby in 10 minutes
git clone https://github.com/ibaiGorordo/ONNX-YOLOv7-Object-Detection.git cd ONNX-YOLOv7-Object-Detection pip install -r requirements.txt
What are some alternatives?
open-mcr - :pencil: Exam bubble sheet scorer. Created with OpenCV and Python.
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
python_video_stab - A Python package to stabilize videos using OpenCV
netron - Visualizer for neural network, deep learning and machine learning models
IkomiaApi - Deploy Computer Vision solutions with a few lines of code.
onnxruntime-ruby - Run ONNX models in Ruby
models - A collection of pre-trained, state-of-the-art models in the ONNX format
AS-One - Easy & Modular Computer Vision Detectors, Trackers & SAM - Run YOLOv9,v8,v7,v6,v5,R,X in under 10 lines of code.
blink-morse - Computer vision application to type based on detection of eyes blinking morse code.
qr-measure - Measuring with computer vision
yolov7-pose-estimation - YOLOv7 Pose estimation using OpenCV, PyTorch
yolo-v4-tf.keras - A simple tf.keras implementation of YOLO v4