PINTO_model_zoo
RMagick
PINTO_model_zoo | RMagick | |
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5 | 6 | |
3,301 | 693 | |
- | 0.4% | |
9.7 | 9.3 | |
6 days ago | 3 days ago | |
Python | C++ | |
MIT License | MIT License |
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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
RMagick
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How to use ImageMagick in AWS Lambda (ruby 2.7) with WebP support
require 'rmagick' include Magick module LambdaFunction class Handler def self.process(event:, context:) image_url = event['image_url'] my_image = ImageList.new(image_url) # TODO: Use rmagick to make your image transformations # Docs: https://rmagick.github.io { "success": true } end end end
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YOLOv7 object detection in Ruby in 10 minutes
mini_magick is much slower than YOLO. I hear that rmagick is well maintained these days, so you may want to use that.
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Building a Dot Matrix Animator
To accomplish this project, I knew I would need some way to process the input images. Resizing the images was the easy bit. The more complex (and more important) task was to find the best way to relate a pixel's color in the source image to a dot's size in final animation. I felt that the relative luminance as described in this W3 accessibility document was a logical property to use in this case, and can be easily calculated with a color's RGB components. After determining what tasks I needed to fulfill, I determined that the RMagick library would be a good choice for this project.
- API to create an image (with text/details) and display it
- Is there a gem/way to edit an image with custom text
What are some alternatives?
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/
MiniMagick - mini replacement for RMagick
RobustVideoMatting - Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!
ruby-vips - Ruby extension for the libvips image processing library.
edgetpu - Coral issue tracker (and legacy Edge TPU API source)
IMGKit - Uses wkhtmltoimage to create JPGs and PNGs from HTML
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
PSD.rb - Parse Photoshop files in Ruby with ease
tensorflow-onnx - Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Phashion - Ruby wrapper around pHash, the perceptual hash library for detecting duplicate multimedia files
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
Skeptick - Better ImageMagick for Ruby