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barakeelfanseukamhoua's Projects

2d-gem icon 2d-gem

Exact 3D shape matching via 2D-graph convolution (Neurips2022). url=

caffe-tensorflow icon caffe-tensorflow

Caffe models in TensorFlow. This forks supports TF 1+ and standalone export.

deepcluster icon deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

face_recognition icon face_recognition

The world's simplest facial recognition api for Python and the command line

facedetection icon facedetection

An end-to-end walkthrough with a custom object detection pipeline for face detection!

facemesh_coreml_tf icon facemesh_coreml_tf

This repository contains the code for converting tflite model of Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs and Blazeface to tensorflow and coreml.

grac_cikm icon grac_cikm

This contains the code for "HyperGraph Convolution Based Attributed HyperGraph Clustering" at CIKM 21'. url=https://dl.acm.org/doi/10.1145/3459637.3482437

grace icon grace

GRAC extension (Accepted at TKDD2022)

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

mobilenet-yolo icon mobilenet-yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

models icon models

Models and examples built with TensorFlow

mtcnn_python icon mtcnn_python

MTCNN face detection implementation for TensorFlow, as a PIP package.

openvino2tensorflow icon openvino2tensorflow

This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .

pyshot icon pyshot

A Python API for the SHOT descriptor

ransac-flow icon ransac-flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

realsr icon realsr

Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)

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