yolo-tf2 VS deepsparse

Compare yolo-tf2 vs deepsparse and see what are their differences.

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yolo-tf2 deepsparse
1 21
747 2,829
- 2.9%
7.6 9.6
over 1 year ago about 12 hours ago
Python Python
MIT License GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

yolo-tf2

Posts with mentions or reviews of yolo-tf2. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning yolo-tf2 yet.
Tracking mentions began in Dec 2020.

deepsparse

Posts with mentions or reviews of deepsparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

What are some alternatives?

When comparing yolo-tf2 and deepsparse you can also consider the following projects:

NudeNet - Neural Nets for Nudity Detection and Censoring

yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

openvino - OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Deep-SORT-YOLOv4 - People detection and optional tracking with Tensorflow backend.

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

tvm - Open deep learning compiler stack for cpu, gpu and specialized accelerators

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.

Beginner-Traffic-Light-Detection-OpenCV-YOLOv3 - This is a python program using YOLO and OpenCV to detect traffic lights. Works in The Netherlands, possibly other countries

sparsify - ML model optimization product to accelerate inference.

BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT