model_zoo
PINTO_model_zoo
model_zoo | PINTO_model_zoo | |
---|---|---|
1 | 5 | |
3 | 3,301 | |
- | - | |
7.6 | 9.7 | |
9 months ago | 7 days ago | |
Shell | Python | |
MIT License | MIT License |
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model_zoo
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Hi do you guys have any labelled dataset for training small robots ro recognize common objects?
You may want to try the Remyx engine - you can train a model by describing the labels you want without having to upload labeled data. Here's a demo. Your first model is free :) Here is our model zoo with some common object models that might be useful too.
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?
video-inference - Example showing how to do inference on a video file with Roboflow Infer
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/
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
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
CREStereo - Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
tflite2tensorflow - Generate saved_model, tfjs, tf-trt, EdgeTPU, CoreML, quantized tflite, ONNX, OpenVINO, Myriad Inference Engine blob and .pb from .tflite. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support. Supports inverse quantization of INT8 quantization model.
sparsify - ML model optimization product to accelerate inference.
awesome-tensorflow-lite - An awesome list of TensorFlow Lite models, samples, tutorials, tools and learning resources.