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Search results for segmentation onnx

16 search results found

Lite.ai.toolkit ⭐ 3,319

🛠 A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOv5, YOLOX, YOLOP, YOLOv6, YOLOR, MODNet, YOLOX, YOLOv7, YOLOv8. MNN, NCNN, TNN, ONNXRuntime.

Pytorch Auto Drive ⭐ 713

PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help

Vedaseg ⭐ 383

A semantic segmentation toolbox based on PyTorch

Fastseg ⭐ 209

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

Bisenetv2 Tensorflow ⭐ 187

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

Deepstream ⭐ 69

yolov5, yolov8, segmenations, face, pose, keypoints on deepstream

Waffle_hub ⭐ 40

🧇Waffle Hub🧇 is Deep Learning 🛠️Open Source Framework Adapter. It provides you 😎no-code, 😏easy training and inference!

Crack Semantic Segmentation ⭐ 32

Real time crack segmentation using PyTorch, OpenCV and ONNX runtime

Train_baiducnn ⭐ 25

Train lidar apollo instance segmentation CNN

Hair Dye ⭐ 19

Neural Network for Dying Hair💈

Webai.js ⭐ 18

A simple Web AI model deployment tool using JavaScript based on OpenCV.js and ONNXRuntime

Skin Clothes Hair Segmentation Using Smp ⭐ 18

3クラス(肌、服、髪)のセマンティックセグメンテーションを実施するモデル(A model that performs semantic segmentation of 3 classes(skin, clothes, hair))

Onnx Yolov8 Instance Segmentation ⭐ 18

Python scripts performing Instance Segmentation using the YOLOv8 model in ONNX.

Brats2019 ⭐ 11

Yolov8 Onnx Rknn Horizon Tensorrt Segmentation ⭐ 9

Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT

Mivisionx Inference Tutorial ⭐ 6

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit.

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