daniel-falk

Daniel Falk's starred repositories

cargo-acap

A tool to build Rust programs for the AXIS Camera Application Platform

Language:RustApache-2.0900

goxis

Golang ACAP Wrappers

Language:GoGPL-3.0400

bad

A collection of docker files for cross compiling various native libraries

Language:C++MIT2400

python-vivotek

Python Library for Vivotek IP Cameras

Language:PythonGPL-3.0900

pysoxy

A small Socks5 Proxy Server in Python

Language:PythonGPL-2.011900

Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.

Language:PythonMIT58800

just

🤖 Just a command runner

Language:RustCC0-1.01811900

aws-streamer

Video Processing for AWS

Language:PythonApache-2.04200

multical

Multi-camera calibration using one or more calibration patterns

Language:PythonNOASSERTION31700

jetson-intro-to-distillation

A tutorial introducing knowledge distillation as an optimization technique for deployment on NVIDIA Jetson

Language:PythonNOASSERTION12700

TFLITE_1

Run models exported from Teachable Machine in Axis Cameras

Language:CMIT500

axis-weatherflow

WeatherFlow Overlay for Axis cameras

Language:GoMIT100

Axis_Cam_Tailscale

Here you will find the files and instructions required to run Tailscale VPN on Axis Communications Cameras

Language:HTMLBSD-3-Clause1900

Edge-TPU-Object-Detection

This code performs object detection and tracking using a pre-trained Tensor Flow Lite (TFLite) model. In addition, it can track each unique object in terms of how it is moving through the frame of vision i.e. if it is moving up / down / left / right or just stationary. There are two main scripts: one takes a live video feed from Raspberry Pi camera; the other analyses an existing video file.

Language:PythonApache-2.0100

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

Language:Jupyter Notebook447900

kedro-mlflow

A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)

Language:PythonApache-2.018900

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Language:Jupyter Notebook706500

awesome-mlops

:sunglasses: A curated list of awesome MLOps tools

Language:Python367600

computer-vision-for-embedded

An introduction to edge based image analytics in an AXIS network camera. As the foundation for for a webinar this code base shows how to build an edge application, how to understand NV12 raw images and how to perform some simple computer vision.

Language:CMIT100

python-app-on-axis-camera

A show case application for how to perform rapid development with python using an Axis Communication network camera and the official SDK

Language:DockerfileMIT400

camera-analytics

Micropython in an AXIS network camera! The base in this repository is the pipeline to cross compile micropython and to deploy and run it on an ARMv7 AXIS camera (e.g. the Ambarella S2L SoC).

Language:Python400