millx2021 Goto Github PK
Name: MillX
Type: User
MillX's Projects
reid_baseline
sota of reid model
relation-networks-for-object-detection
Relation Networks for Object Detection
rolabelimg
Label Rotated Rect On Images for training
rpg_svo
Semi-direct Visual Odometry
rpn_bf
RPN+BF
sacnn-crowdcounting-tencent_youtu
Crowd Counting Via Scale-adaptive Convolutional Neural Network
semantic-segmentation-suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
senet-caffe
A Caffe Re-Implementation of SENet
shufflenet
This is a fast caffe implementation of ShuffleNet.
slowfast
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
sniper
SNIPER is an efficient multi-scale object detection algorithm
sort
Simple online and realtime tracking
staple
Code for the tracker described in the CVPR16 paper "Staple: Complementary Learners for Real-Time Tracking"
stereovision
stereo matching based on OpenCV and VS 2010
structuralinspectionplanner
ASL Structural Inspection Planner
t-cnn
ImageNet 2015 Object Detection from Video (VID)
tensorflow
Computation using data flow graphs for scalable machine learning
tensorrt-centernet
tensorrt5 , centernet , centerface, deform conv, int8
tf.fashionai
Full pipeline for TianChi FashionAI clothes keypoints detection compitetion in TensorFlow
triplet
Re-implementation of tripletloss function in FaceNet
vehicle-type-classification-using-cnn
Implement CNN models to classify vehicle type
video_analyst
A series of basic algorithms that are useful for video understanding, including Single Object Tracking (SOT), Video Object Segmentation (VOS) and so on.
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