Abhi83166's Stars
tinyvision/DAMO-YOLO
DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
facebookresearch/theseus
A library for differentiable nonlinear optimization
tum-ens/pyGRETA
python Generator of REnewable Time series and mAps
sakshi-mishra/solar-forecasting-RNN
Multi-time-horizon solar forecasting using recurrent neural network
cuge1995/awesome-energy-forecasting
list of papers, code, and other resources
themakerspace/SARA
osSARA - Opensource Six Axis Robotic Arm
steven2358/awesome-blockchain-ai
A curated list of Blockchain projects for Artificial Intelligence and Machine Learning
mahyarnajibi/SNIPER
SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm
medtorch/awesome-healthcare-ai
A curated list of awesome open source healthcare tools, algorithms, datasets and research papers.
averule/Hand-Gesture-Recognition
Digital image processing helps replace several mundane activities. My project in final year was ‘Application Control using Hand Gesture Recognition From 3-Dimensional Images’. We worked extensively on processing a 3-D image to recognize the encrypted gesture, with the added 3rd dimension for more number of gestures. We started with extensive image segmentation to suppress background, handle dynamic lighting conditions and extract only portion of hand from the 3-D image. A tedious task, we researched many papers on IEEE and books on Image processing, to come-up with a complex code logic involving a combination of three different segmentation techniques involving RGB, YCbCr and HSV models. Further, with mathematical calculations involving use of Eigen values and Eigen vectors were derived based on the co-variance matrix, generated as per captured image, we managed to extract maximum information. A Euclidean distance was calculated to denote the deviation of captured image from each set of pre-captured images for all defined gestures. Hectic code optimization helped save precious execution time. The gesture corresponding to minimal Euclidean distance was the identified gesture. This project acquainted me with MATLAB and I learnt about various image enhancement and image segmentation techniques. I presented a paper at IEEE’s International Conference on Convergence of Technology (I2CT), Pune, published in the journal with ISBN “978-1-4799-3759-2”.
tedlanghorst/OpenOBS
brycejohnston/awesome-agriculture
Open source technology for agriculture, farming, and gardening