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hongchow's Projects

math_object_detection icon math_object_detection

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

mediapipe icon mediapipe

MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

models icon models

Models and examples built with TensorFlow

noise2self icon noise2self

A framework for blind denoising with self-supervision.

ocr_tdr icon ocr_tdr

好未来Feature Camp:中文手写汉字识别

ocropy icon ocropy

Python-based tools for document analysis and OCR

of_dis icon of_dis

Fast Optical Flow using Dense Inverse Search (DIS)

opencv icon opencv

Open Source Computer Vision Library

opennmt-py icon opennmt-py

Open Source Neural Machine Translation in PyTorch

paddleseg icon paddleseg

End-to-End Image Segmentation Kits Based on PaddlePaddle. (『飞桨』图像分割开发套件)

pinto_model_zoo icon pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]

pixel icon pixel

Apply ARM NEON for image processing & NEON Intrinsics reference implementation.

portraitnet icon portraitnet

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

pose-residual-network-pytorch icon pose-residual-network-pytorch

Code for the Pose Residual Network introduced in 'MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network' paper https://arxiv.org/abs/1807.04067

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

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