pytorch2keras
TensorFlow-object-detection-tutorial
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pytorch2keras | TensorFlow-object-detection-tutorial | |
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2 | 1 | |
846 | 150 | |
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0.0 | 0.0 | |
over 1 year ago | almost 4 years ago | |
Python | Python | |
MIT License | - |
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pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
TensorFlow-object-detection-tutorial
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Python CUDA - Multiprocessing/Pipes/Queues
I am trying to accomplish something similar to this with yolo5. https://github.com/pythonlessons/TensorFlow-object-detection-tutorial
What are some alternatives?
NudeNet - Neural Nets for Nudity Detection and Censoring
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
cupy - NumPy & SciPy for GPU
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
pdf2image - A python module that wraps the pdftoppm utility to convert PDF to PIL Image object
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
onnx-tensorflow - Tensorflow Backend for ONNX
a-PyTorch-Tutorial-to-Object-Detection - SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
viseron - Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.