nodejs-vision
examples
nodejs-vision | examples | |
---|---|---|
48 | 143 | |
494 | 7,754 | |
- | 0.7% | |
7.3 | 5.3 | |
over 1 year ago | 29 days ago | |
TypeScript | Jupyter Notebook | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
nodejs-vision
-
GitHub Is Sued, and We May Learn Something About Creative Commons Licensing
Google also used all of this to improve their OCR algorithms, almost certainly used in Google Cloud Vision[0], but I doubt this was a consideration when deciding if it was transformative/fair use.
0: https://cloud.google.com/vision
-
API that describes/labels images
You are looking for a computer vision object recognition api, and there are several, all of which cost money. Here are a couple Google’s Microsoft’s
-
Unique images help - right?
For an example, Google Cloud API which can read images even facial expression and much more and also can differentiate which Image is violating google terms and condition like - pronographic image
-
Just realized my algo is useless in live markets using heikin ashi
tool/software = https://cloud.google.com/vision
- MIERUKO CHAN CHAPTER 46
- [DISC] Mieruko-chan - Ch 46
- [DISC] Rosen Garten・Saga - Episode29「出番 〜Persona〜」 RAW
-
I didn’t lose a grey mid.. so is this fake or am I crazy and just can’t remember?
I think you’re underestimating how good OCR tech is. Yeah, shitty penmanship will be harder for software to interpret just as it is for the human eye, but legible ink isn’t much of a problem. I just tried scanning my number off my discs and my iPhone digitized it without issue. This technology is essentially made for digitizing handwritten text. Try it yourself if you’d like: https://cloud.google.com/vision
- GMB is Rejecting Everything for Us - Is This the New Normal or a Glitch?
-
Discussion - Raw japanese scans - Chapter 66 - Kemono Jihen / 怪物事変
you guys can use this website to extract the japanese texts from the manga pages : https://cloud.google.com/vision/ , then you can google-translate the texts .
examples
-
My Favorite DevTools to Build AI/ML Applications!
TensorFlow, developed by Google, and PyTorch, developed by Facebook, are two of the most popular frameworks for building and training complex machine learning models. TensorFlow is known for its flexibility and robust scalability, making it suitable for both research prototypes and production deployments. PyTorch is praised for its ease of use, simplicity, and dynamic computational graph that allows for more intuitive coding of complex AI models. Both frameworks support a wide range of AI models, from simple linear regression to complex deep neural networks.
-
Open Source Ascendant: The Transformation of Software Development in 2024
AI's Open Embrace Artificial intelligence (AI) and machine learning (ML) are increasingly leveraging open-source frameworks like TensorFlow [https://www.tensorflow.org/] and PyTorch [https://pytorch.org/]. This democratization of AI tools is driving innovation and lowering entry barriers across industries.
-
Best AI Tools for Students Learning Development and Engineering
Which label applies to a tool sometimes depends on what you do with it. For example, PyTorch or TensorFlow can be called a library, a toolkit, or a machine-learning framework.
-
Releasing The Force Of Machine Learning: A Novice’s Guide 😃
TensorFlow: An open-source machine learning framework for high-performance numerical computations, especially well-suited for deep learning.
-
MLOps in practice: building and deploying a machine learning app
The tool used to build the model per se was TensorFlow, a very powerful and end-to-end open source platform for machine learning with a rich ecosystem of tools. And in order to to create the needed script using TensorFlow Jupyter Notebook was used, which is a web-based interactive computing platform.
-
🔥14 Excellent Open-source Projects for Developers😎
10. TensorFlow - Make Machine Learning Work for You 🤖
-
GPU Survival Toolkit for the AI age: The bare minimum every developer must know
AI models, particularly those built on deep learning frameworks like TensorFlow, exhibit a high degree of parallelism. Neural network training involves numerous matrix operations, and GPUs, with their expansive core count, excel in parallelizing these operations. TensorFlow, along with other popular deep learning frameworks, optimizes to leverage GPU power for accelerating model training and inference.
-
🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
#2 TensorFlow
- Are there people out there who still like Sam atlman - AI IS AT DANGER
-
Tensorflow help
I am on a new ftc team trying to get vision to work. I used the ftc machine learning tool chain but I have yet to get a good result with at best a 10% accuracy rate. I have changed everything possible in the tool chain with little luck. To fix this, I have tried making my own .tflite model using the google colab from https://www.tensorflow.org/. When ever I try to run the same code with my own .tflite model, it gives me the error "User code threw an uncaught exception: IllegalStateException - Error getting native address of native library: task_vision_jni". It gives me the same error with official tensor flow tflite test models, and when I put them on a raspberry pi, both worked just fine. Does anyone have a fix to this error or even just tips for the machine learning toolchain?
What are some alternatives?
tesseract-ocr - Tesseract Open Source OCR Engine (main repository)
cppflow - Run TensorFlow models in C++ without installation and without Bazel
open_nsfw - Not Suitable for Work (NSFW) classification using deep neural network Caffe models.
mlpack - mlpack: a fast, header-only C++ machine learning library
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
streamlit - Streamlit — A faster way to build and share data apps.
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
forgefed - ForgeFed - Federation Protocol for Forge Services
Selenium WebDriver - A browser automation framework and ecosystem.
google-cloud-ops-agents-ansible - Ansible Role for Google Cloud Ops
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing