SSD-pytorch
a-PyTorch-Tutorial-to-Object-Detection
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| SSD-pytorch | a-PyTorch-Tutorial-to-Object-Detection | |
|---|---|---|
| 6 | 3 | |
| 159 | 2,960 | |
| - | - | |
| 0.0 | 4.9 | |
| about 3 years ago | 6 months ago | |
| Python | Python | |
| MIT License | MIT License |
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SSD-pytorch
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Minimal implementation of SSD: Single Shot MultiBox Detector
Source code: https://github.com/uvipen/SSD-pytorch
Source code: https://github.com/uvipen/SSD-pytorch
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My minimal implementation of SSD: Single Shot MultiBox Detector
Source code: https://github.com/uvipen/SSD-pytorch
a-PyTorch-Tutorial-to-Object-Detection
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Beginner : Object (shape) detection in binary images
I have also experimented with SSD300 models from this example : https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection but again, I think the lack of RGB/greyscale data makes this largely useless ?
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Learning resources: multi-object localization
Also, this SSD walkthrough is pretty good as well and goes into a lot more depth on the concepts.
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What is an easy way to find an image within another image?
Something like this perhaps? https://github.com/sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
What are some alternatives?
faceswap - Deepfakes Software For All
mmrotate - OpenMMLab Rotated Object Detection Toolbox and Benchmark
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
mmdetection - OpenMMLab Detection Toolbox and Benchmark
ssd_keras - A Keras port of Single Shot MultiBox Detector
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
CRAFT-pytorch - Official implementation of Character Region Awareness for Text Detection (CRAFT)
pytorch-efficientdet-api - A PyTorch EfficientDet API for easy training and inference on custom datasets.
DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch