Odam Alternatives
Similar projects and alternatives to odam based on common topics and language
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gocv
Go package for computer vision using OpenCV 4 and beyond. Includes support for DNN, CUDA, and OpenCV Contrib.
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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awesome-tiny-object-detection
🕶 A curated list of Tiny Object Detection papers and related resources.
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tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
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Pine
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO. (by petercunha)
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darknet
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
odam reviews and mentions
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GoCV vs OpenCV Python Performance
Yeah, I tried to use GoCV in my pet project for object detection: https://github.com/LdDl/odam. It fits all my current needs (since I know how to port some python/c++ techniques for computer vision) The only thing I'm really struggling about is there is no straightforward simple way to make GPU-build it for Windows (as far as I know).
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Go Object Detection Package (YOLO V3)
I'm working on similar project (yolov4): https://github.com/LdDl/odam But, I'm using gocv.Mat -> darknet-based image (go darknet bindings) conversion.
Stats
LdDl/odam is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of odam is Go.
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