HeeebsInc's Stars
IanTerzo/Neutron
Create modern cross-platform apps in Python using HTML and CSS
IshitaTakeshi/PCANet
A Python implementation of PCANet https://arxiv.org/abs/1404.3606
agarrharr/awesome-cli-apps
🖥 📊 🕹 🛠 A curated list of command line apps
NVIDIA-AI-IOT/Deepstream-Dewarper-App
This project demonstrate how to infer and track from a 360 videos by using the dewarper plugin.
nasa/MLMCPy
abhiTronix/vidgear
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
ifzhang/ByteTrack
[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box
NVIDIA/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
xinshuoweng/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
abhineet123/Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
bluenviron/mediamtx
Ready-to-use SRT / WebRTC / RTSP / RTMP / LL-HLS media server and media proxy that allows to read, publish, proxy, record and playback video and audio streams.
fusionlanguage/fut
Fusion programming language. Transpiling to C, C++, C#, D, Java, JavaScript, Python, Swift, TypeScript and OpenCL C.
khuyentran1401/Data-science
Collection of useful data science topics along with articles, videos, and code
david8862/keras-YOLOv3-model-set
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
dog-qiuqiu/MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
facebookresearch/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
MehmetOKUYAR/Auto_video_label
Data is a huge factor in deep learning algorithms. The larger our data size, the better our model can generalize and learn. However, data preparation is a very laborious and time-consuming process. That's why I wanted to develop an application that I thought would make this stage easier. By using image processing techniques, it can track an object of your choice to a certain extent and saves the image and .txt file to the folder during tracking. Currently, it only works for one class and you can only label one object.
otepencelik/GAN-Artwork-Generation
philipbl/duplicate-images
A script to find and delete duplicate images using pHash.
sjyk/datacleaning-benchmark
drcandacemakedamoore/cleanX
Python library for exploring, cleaning, normalizing, and augmenting large datasets of radiological data.
codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
chuanqi305/MobileNetv2-SSDLite
Caffe implementation of SSD and SSDLite detection on MobileNetv2, converted from tensorflow.
areed1192/python-trading-robot
A trading robot, that can submit basic orders in an automated fashion using the TD API.
NVIDIA-AI-IOT/deepstream_python_apps
DeepStream SDK Python bindings and sample applications
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
palmdalian/python_lumix_control
Python module for controlling Panasonic wifi enabled cameras
koaning/human-learn
Natural Intelligence is still a pretty good idea.
RockyXu66/Faster_RCNN_for_Open_Images_Dataset_Keras
Faster R-CNN for Open Images Dataset by Keras
huyhieupham/Object-Detection-and-Counting-Faster-R-CNN
A vision-based tool for transport system flow analysis using Faster R-CNN. This system is able to detect different types of objects, e.g., cars, buses, pedestrians, and classify as well as count them in transport videos with a real-time speech.