Trevol's repositories
ktor-globalcalldata
Ktor Feature to get and set request bound global data
yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
3D-Machine-Learning
A resource repository for 3D machine learning
first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
ncnn-android-mobilenetssd
The mobilenetssd object detection android example
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
locating-objects-without-bboxes
PyTorch code for "Locating objects without bounding boxes" - Loss function and trained models
sort
Simple, online, and realtime tracking of multiple objects in a video sequence.
yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS
MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, arXiv:1907.01341"
PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
learnopencv
Learn OpenCV : C++ and Python Examples
pytorch-YOLOv4
Minimal PyTorch implementation of YOLOv4
OpenLabeling
Label images and video for Computer Vision applications
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
Network-Speed-and-Compression
Network acceleration methods
tf2-eager-yolo3
Yolo-v3 model was implemented with tf2 eager style. I also implemented the eager model's training function and applied it to other datasets (digit detector, vehicle detector).
tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.
Image-Downloader
Download images from Google, Bing, Baidu. 谷歌、百度、必应图片下载.
cvat
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms
SVHN-deep-digit-detector
Deep-digit-detector (and recognizer) in natural scene. A digit detection framework was implemented using keras with tensorflow backend.
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
pytorch-ssd
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
augmix
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty