MarcosJNS

Training-a-Custom-TensorFlow-2.X-Object-Detector

Learn how to train a TensorFlow Custom Object Detector with TensorFlow-GPU

Deep-Feature-Flow

Deep Feature Flow for Video Recognition

toolkit-legacy

Visual Object Tracking (VOT) challenge evaluation toolkit

yolo3_tensorflow

yolo3 implement by tensorflow， including mobilenet_v1, mobilenet_v2

keras-YOLOv3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Frozen-Graph-TensorFlow

Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x

ClipShots

ClipShots is the first large-scale dataset for shot boundary detection collected from Youtube and Weibo covering more than 20 categories, including sports, TV shows, animals, etc.

Mask-RCNN-Pedestrian-Detection

Mask-RCNN based Real Time pedestrian detection

motion-rcnn

Motion R-CNN: Mask R-CNN with support for 3D motion estimation (prototype)

multi-object-tracking

yolov3, deep_sort and optical flow

tfoptflow

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

corr_tf

An implementation of the FlowNetC correlation layer in tensorflow

Dense_OpticalFlow_and_CNN_based_Motion_Segmentation_and_Object_Recognition

Farneback flow algorithm to segment motion and classify the ROI using CNN - Caffe model

governor-tfg