Tensorflow Faster RCNN for Object Detection
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Updated
Sep 27, 2021 - Python
Tensorflow Faster RCNN for Object Detection
Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
OpenMMLab Pre-training Toolbox and Benchmark
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Caffe Implementation of Google's MobileNets (v1 and v2)
Implementation of EfficientNet model. Keras and TensorFlow Keras.
A caffe implementation of MobileNet-YOLO detection network
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
Creating a software for automatic monitoring in online proctoring
Classification models trained on ImageNet. Keras.
🍅 Deploy ncnn on mobile phones. Support Android and iOS. 移动端ncnn部署,支持Android与iOS。
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Library for Fast and Flexible Human Pose Estimation
A mobilenet SSD based face detector, powered by tensorflow object detection api, trained by WIDERFACE dataset.
Keras-OpenFace is a project converting OpenFace from Torch implementation to a Keras version
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
A face recognition solution on mobile device.
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