RAFT-Stereo
PINTO_model_zoo
Our great sponsors
RAFT-Stereo | PINTO_model_zoo | |
---|---|---|
1 | 5 | |
559 | 3,288 | |
2.9% | - | |
1.4 | 9.8 | |
about 1 year ago | 19 days ago | |
Python | Python | |
MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
RAFT-Stereo
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stereodemo: compare several recent stereo depth estimation methods in the wild
RAFT-Stereo: "Multilevel Recurrent Field Transforms for Stereo Matching" (3DV 2021)
PINTO_model_zoo
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YOLOv7 object detection in Ruby in 10 minutes
Download the ONNX model from this project: 307_YOLOv7
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stereodemo: compare several recent stereo depth estimation methods in the wild
Hope it might be useful to more people, and thanks to PINTO0309 and ibaiGorordo for converting several pre-trained models to ONNX!
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Loading Saved Models for transfer learning
Check it out https://github.com/PINTO0309/PINTO_model_zoo
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[R][P]MobileStyleGAN: A Lightweight Convolutional Neural Network for High-Fidelity Image Synthesis
Someone reported, that he converted MobileStyleGAN to tfjs (https://github.com/PINTO0309/PINTO_model_zoo), but i didn't check it
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Can we increase the output class in transfer learning?
model:-https://github.com/PINTO0309/PINTO_model_zoo/blob/main/053_BlazePose/01_float32/02_pose_landmark_upper_body_tflite2h5_weight_int_fullint_float16_quant.py
What are some alternatives?
CREStereo - Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
YOLOX - YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
OpenCV - Open Source Computer Vision Library
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
google-research - Google Research
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
RealtimeStereo - Attention-Aware Feature Aggregation for Real-time Stereo Matching on Edge Devices (ACCV, 2020)
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.