yolov5-opencv-cpp-python
Example of using ultralytics YOLO V5 with OpenCV 4.5.4, C++ and Python (by doleron)
darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
| yolov5-opencv-cpp-python | darknet | |
|---|---|---|
| 1 | 62 | |
| 312 | 21,449 | |
| - | - | |
| 0.6 | 6.5 | |
| about 1 year ago | about 1 month ago | |
| Python | C | |
| MIT License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
yolov5-opencv-cpp-python
Posts with mentions or reviews of yolov5-opencv-cpp-python.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-08.
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[QUESTION] Error when loading YOLOv5 with C++ and OpenCV
I am trying to run object detection using YOLOv5 with C++ and Opencv's dnn. I mainly followed this example: https://github.com/doleron/yolov5-opencv-cpp-python/blob/main/cpp/yolo.cpp
darknet
Posts with mentions or reviews of darknet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-21.
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Anybody building ML models in C++?
YoloV3/4 is C based if that counts: https://github.com/AlexeyAB/darknet
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[D] Fixing the angle of Skewed Paintings, see comments
This is all well-known information, see any (and all!) previous discussions when YOLOv5 comes up. For details: https://github.com/AlexeyAB/darknet/issues/5920
- Viseron 2.0.0 - Self-hosted, local only NVR and AI Computer Vision software.
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How do I train YOLO5 to detect small objects (arial imagery). something like 20-20 pixels or maybe little more? How do I increase resolution and apply augmentation and tiling? Or maybe the YOLO5 is not he best choice for that?
2) YOLOv5 is both slower and less precise than YOLOv4. Why use YOLOv5? Source: https://github.com/AlexeyAB/darknet/issues/5920
- Machine learning Library in C?
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I just realized yolov5 is GPL-3
So my recommendation is you stuck with Darknet/YOLO and use v4 of YOLO. The Darknet framework license is definitely suitable for commercial use: https://github.com/AlexeyAB/darknet/blob/master/LICENSE
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GPL vs MIT.
Still to long. Here's my favourite license: https://github.com/AlexeyAB/darknet/blob/master/LICENSE
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I was excited about YOLOv7, so I built a sharable object detection application with VDP and Streamlit.
When YOLOv7 was out, I built a web app to test it against the classic YOLOv4 and shared it with my team, then deployed it online to share with the community.
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Does reducing the number of classes on YOLOv5 make it faster at inference?
If you're worried about performance, you shouldn't be using YOLOv5 since it is slower (and less accurate!) than YOLOv4. Source: https://github.com/AlexeyAB/darknet/issues/5920
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[D] DarkNet YOLOv4 with CUDA 11.7 in Windows?
I looked around online but I only found this post discussing a related issue, leading me to think there seems to be some sort of compatibility issue going on here. And I think this is the most recent version of the file I am trying to compile located on the exact same folder where my copy is and when I opened it it shows CUDA 11.1 in line 307.
What are some alternatives?
When comparing yolov5-opencv-cpp-python and darknet you can also consider the following projects:
lunar - a neural network aim assist that uses real-time object detection accelerated with CUDA on Nvidia GPUs
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite