rps-cvA Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
Stars: ✭ 102 (+104%)
Image-ClassificationPre-trained VGG-Net Model for image classification using tensorflow
Stars: ✭ 29 (-42%)
GFNet[NeurIPS 2021] Global Filter Networks for Image Classification
Stars: ✭ 199 (+298%)
aws-rekognitionA Laravel Package/Facade for the AWS Rekognition API
Stars: ✭ 20 (-60%)
IresnetImproved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
Stars: ✭ 163 (+226%)
Robot Grasp DetectionDetecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.
Stars: ✭ 134 (+168%)
Fall DetectionHuman Fall Detection from CCTV camera feed
Stars: ✭ 154 (+208%)
Sign-Language-AppTraining a model to recognize Sign Language then running inference on the Webcam
Stars: ✭ 25 (-50%)
DmsmsgrcgA photo OCR project aims to output DMS messages contained in sign structure images.
Stars: ✭ 18 (-64%)
IdenprofIdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.
Stars: ✭ 149 (+198%)
RostensorflowTensorFlow ImageNet demo using ROS sensor_msgs/Image
Stars: ✭ 59 (+18%)
AlbumentationsFast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Stars: ✭ 9,353 (+18606%)
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Stars: ✭ 1,460 (+2820%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+324%)
UAV-Stereo-VisionA program for controlling a micro-UAV for obstacle detection and collision avoidance using disparity mapping
Stars: ✭ 30 (-40%)
Image-ClassifierFinal Project of the Udacity AI Programming with Python Nanodegree
Stars: ✭ 63 (+26%)
CoreML-and-Vision-with-a-pre-trained-deep-learning-SSD-modelThis project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…
Stars: ✭ 16 (-68%)
Basic cnns tensorflow2A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Stars: ✭ 374 (+648%)
ArtificioDeep Learning Computer Vision Algorithms for Real-World Use
Stars: ✭ 326 (+552%)
Channel PruningChannel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)
Stars: ✭ 979 (+1858%)
Nsfw Resnet🔥🔥NSFW implement in pytorch(色情图&性感图识别,本程序经过了线上大数据集测试,性能优异效果良好)🔥🔥
Stars: ✭ 142 (+184%)
Image classifierCNN image classifier implemented in Keras Notebook 🖼️.
Stars: ✭ 139 (+178%)
VitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Stars: ✭ 176 (+252%)
Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
Stars: ✭ 21 (-58%)
ImageaiA python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Stars: ✭ 6,734 (+13368%)
Rectlabel SupportRectLabel - An image annotation tool to label images for bounding box object detection and segmentation.
Stars: ✭ 338 (+576%)
LabelboxLabelbox is the fastest way to annotate data to build and ship computer vision applications.
Stars: ✭ 1,588 (+3076%)
thermographyAutomatic detection of defected solar panel modules
Stars: ✭ 59 (+18%)
Labelimg🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
Stars: ✭ 16,088 (+32076%)
LearnopencvLearn OpenCV : C++ and Python Examples
Stars: ✭ 15,385 (+30670%)
Paper-NotesPaper notes in deep learning/machine learning and computer vision
Stars: ✭ 37 (-26%)
jpetstore-kubernetesModernize and Extend: JPetStore on IBM Cloud Kubernetes Service
Stars: ✭ 21 (-58%)
deforestationA machine learning exercise, using KNN to classify deforested areas
Stars: ✭ 26 (-48%)
CVComputer Vision applications using #Python and #OpenCV
Stars: ✭ 19 (-62%)
camera-fusionMultiple cameras calibration and fusion with OpenCV Python.
Stars: ✭ 27 (-46%)
zalo-landmarkZalo AI Challenge - Landmark Identification
Stars: ✭ 39 (-22%)
MNISTHandwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.
Stars: ✭ 28 (-44%)
pytorch-vitAn Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Stars: ✭ 250 (+400%)
etiketaiEtiketai is an online tool designed to label images, useful for training AI models
Stars: ✭ 63 (+26%)
Faster OpenCV 4 Raspberry PiA pre-compiled version of OpenCV 4 for Raspberry Pi optimized for deep learning / computer vision..
Stars: ✭ 46 (-8%)
iterative-grabcutThis algorithm uses a rectangle made by the user to identify the foreground item. Then, the user can edit to add or remove objects to the foreground. Then, it removes the background and makes it transparent.
Stars: ✭ 35 (-30%)
GStreamer-PythonFetch RTSP Stream using GStreamer in Python and get image in Numpy
Stars: ✭ 81 (+62%)
al-fk-self-supervisionOfficial PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"
Stars: ✭ 28 (-44%)
live-cctvTo detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.
Stars: ✭ 23 (-54%)