Classification models trained on ImageNet. Keras.
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Updated
Jul 21, 2022 - Python
Classification models trained on ImageNet. Keras.
This repository contains the source code of our work on designing efficient CNNs for computer vision
Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
ImageNet file xml format to Darknet text format
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
Nearly Perfect & Easily Understandable PyTorch Implementation of SKNet
A codebase & model zoo for pretrained backbone based on MegEngine.
PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs
Identify objects in images using a third-generation deep residual network.
Unofficial PyTorch Implementation of "Augmenting Convolutional networks with attention-based aggregation"
Image recognition and classification using Convolutional Neural Networks with TensorFlow
【瑞士军刀般的工具】用最短的代码完成对模型的分析,包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等
Machine Learning (Imagenet) User Interface Demo application using Streamlit
VoVNet V2 implementation and checkpoints
Unofficial Tensorflow Implementation of ConvNeXt from "A ConvNet for the 2020s"
A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.
Tensorflow Faster R-CNN for Windows and Python 3.5
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.
What would you say if I told you there is a app on the market that tell you if you have a jackfruit or not a jackfruit.
Introduces the utilization of MMdnn(a model converter) and provide a simple GUI for inference task of image classification.
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