fmo-cpp-demo
Fast Moving Objects Detection (demo version) (by rozumden)
PreciseRoIPooling
Precise RoI Pooling with coordinate gradient support, proposed in the paper "Acquisition of Localization Confidence for Accurate Object Detection" (https://arxiv.org/abs/1807.11590). (by vacancy)
| fmo-cpp-demo | PreciseRoIPooling | |
|---|---|---|
| 1 | 1 | |
| 52 | 764 | |
| - | - | |
| 2.6 | 0.0 | |
| over 3 years ago | over 1 year ago | |
| C++ | C++ | |
| MIT License | MIT License |
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.
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.
fmo-cpp-demo
Posts with mentions or reviews of fmo-cpp-demo.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-31.
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[Question] Best strategy for real time, fast ball tracking?
Can you check this repo, It 's about fast moving object detection https://github.com/rozumden/fmo-cpp-demo
PreciseRoIPooling
Posts with mentions or reviews of PreciseRoIPooling.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-09.
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Implement IoUNet based on MMDetection
IoU or localization prediction has been an active topic in Object Detection and IoUNet is one of the early models that does that. However the authors only released code for the RoIPrecisePooling(https://github.com/vacancy/PreciseRoIPooling), which is a special RoI pooling method proposed in the paper, to my best knowledge.
What are some alternatives?
When comparing fmo-cpp-demo and PreciseRoIPooling you can also consider the following projects:
yolov5 - YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
OpenMMLab-IoUNet
deepdetect - Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
darknet_ros - YOLO ROS: Real-Time Object Detection for ROS
YOLOv4-Tiny-in-UnityCG-HLSL - A modern object detector inside fragment shaders
jetson-inference - Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.