https://github.com/erfanzar/cnn-custom-object-detection
a custom object detection with cnn and residual blocks and ready to train with at least 100 classes
https://github.com/erfanzar/cnn-custom-object-detection
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks deeplearning-ai object-detection python
Last synced: 4 months ago
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a custom object detection with cnn and residual blocks and ready to train with at least 100 classes
- Host: GitHub
- URL: https://github.com/erfanzar/cnn-custom-object-detection
- Owner: erfanzar
- License: mit
- Created: 2022-03-20T12:15:33.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-14T09:45:23.000Z (about 3 years ago)
- Last Synced: 2024-12-28T20:21:43.847Z (5 months ago)
- Topics: artificial-intelligence, artificial-intelligence-algorithms, artificial-neural-networks, deep-learning, deep-neural-networks, deeplearning-ai, object-detection, python
- Language: Python
- Homepage:
- Size: 37.1 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# CNN-Custom-Object-Detection
a custom object detection with cnn and rasialblocks and ready to train with at least 100 classesRun :
python Main.pylayers :
created with 3 sort of layers you can check in Layers.py
and reading configs form config.py
config :
config of layers with the size of each neuron or layer type or mode
you can read the model layers in the layers.txt
run for detect :
python opencv_test.py --weights ($ONNX File ) --source (video from anywhere or web cam (0)) --size 640
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