Implementation of popular deep learning networks with TensorRT network definition API
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Updated
Dec 6, 2024 - C++
Implementation of popular deep learning networks with TensorRT network definition API
DeepLab v3+ model in PyTorch. Support different backbones.
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
This is a pytorch repository of YOLOv4, attentive YOLOv4 and mobilenet YOLOv4 with PASCAL VOC and COCO
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Caffe Implementation of Google's MobileNets (v1 and v2)
Code for our CVPR2021 paper coordinate attention
High level network definitions with pre-trained weights in TensorFlow
MobileNetV3 in pytorch and ImageNet pretrained models
🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models
Real-time portrait segmentation for mobile devices
Light-weight Single Person Pose Estimator
A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer"
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
A PyTorch implementation of "CoAtNet: Marrying Convolution and Attention for All Data Sizes"
A Keras implementation of MobileNetV2.
yolov3 with mobilenetv2 and efficientnet
Yolov5/Yolov4/ Yolov3/ Yolo_tiny in tensorflow
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