Pinned Repositories
accord-net-extensions
Advanced image processing and computer vision algorithms made as fluent extensions and built for portability
Advanced-Lane-Detection
Developed a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. Detect lane lines in a variety of conditions, including changing road surfaces, curved roads, and variable lighting.
ALPR
Nhận diện biển số xe Việt Nam
ALPR_System
Automatic License Plate Recognition System for Vietnamese Plates
Kalman
Some Python Implementations of the Kalman Filter
Monk_Object_Detection
A one-stop repository for low-code easily-installable object detection pipelines.
Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
track_and_count
Track and count using deep learning
Traffic-Rule-Violation-Detection-System
Giải pháp tổng thể về detect xe vượt đèn đỏ, nhận dạng biển số và tracking xe. Trong này có món update vị trí phương tiện cần phải nghiên cứu
nathnim's Repositories
nathnim/Monk_Object_Detection
A one-stop repository for low-code easily-installable object detection pipelines.
nathnim/Multi-Camera-Live-Object-Tracking
Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.
nathnim/track_and_count
Track and count using deep learning
nathnim/ALPR
Nhận diện biển số xe Việt Nam
nathnim/ALPR_System
Automatic License Plate Recognition System for Vietnamese Plates
nathnim/Augmentor
Image augmentation library in Python for machine learning.
nathnim/automl
Google Brain AutoML
nathnim/convert_yolo_weights
Convert Yolo-V3 .weights model to other models.
nathnim/crack_segmentation
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
nathnim/darknet
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
nathnim/deep_sort_yolov3
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
nathnim/Dynamic_Obstacle_Tracking
Detect objects using YOLOv5 and track them using DeepSORT
nathnim/keras-yolo3
Training and Detecting Objects with YOLO3
nathnim/keras-YOLOv3-model-set
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
nathnim/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
nathnim/LPEX
Detect vehicles license plate location
nathnim/minDQN
A Minimal Deep Q-Network
nathnim/NGSIM-US-101-trajectory-dataset-smoothing
smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
nathnim/OpenCV-Python-Tutorials-for-Beginners
An easy to follow course of OpenCV using Python for beginners.
nathnim/openroads-vn-analytics
nathnim/pythoncode-tutorials
The Python Code Tutorials
nathnim/pytorch-licenseplate-segmentation
Pretrained Pytorch license plate segmentation model (DeepLabV3 with ResNet-101 backbone)
nathnim/Road-surface-detection-and-differentiation-considering-surface-damages
Semantic Segmentation in road surfaces, considering different pattern like asphalt, unpaved, potholes, etc.
nathnim/Semantic-Image-Segmentation-Using-UNet
nathnim/SORT-Multiple-Car-Tracking-using-YOLOv5
This is a Multi object tracker. Mainly it was build for tracking car movement in a junction.
nathnim/strams.githup.io
nathnim/traffic-observation-tool
nathnim/UNET_Concrete_Crack_Critical_Width_Detection
Python UNET implementation on the problem of concrete crack detection and critical width location
nathnim/video
4K Road traffic video for object detection and tracking
nathnim/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite