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UESTC
- Chengdu China
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YOLOv3-model-pruning
YOLOv3-model-pruning PublicForked from Lam1360/YOLOv3-model-pruning
对 YOLOv3 做模型剪枝(network slimming),对于COCO、Udacity、PascalVOC数据集中的车辆检测(因项目需要),模型剪枝后的参数量减少 80%,Infer 的速度达到原来 2 倍,mAP 基本不变
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caffe-mobilenet-v3
caffe-mobilenet-v3 PublicForked from jixing0415/caffe-mobilenet-v3
Caffe Implementation of MobileNets V3
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License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9
License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 PublicForked from zhubenfu/License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9
works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
C++ 1
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Vehicle-Car-detection-and-multilabel-classification
Vehicle-Car-detection-and-multilabel-classification PublicForked from CaptainEven/Vehicle-Car-detection-and-multilabel-classification
使用YOLO_v3_tiny和B-CNN实现街头车辆的检测和车辆属性的多标签识别 Using yolo_v3_tiny to do vehicle or car detection and attribute's multilabel classification or recognize
Python 1
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HyperVID
HyperVID PublicForked from zeusees/HyperVID
开源移动端车型识别 Mobile Plateform Vehicle Identification Model
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