tensorflow-yolo-v3
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim) (by mystic123)
viseron
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor. (by roflcoopter)
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| tensorflow-yolo-v3 | viseron | |
|---|---|---|
| 3 | 13 | |
| 894 | 1,388 | |
| - | - | |
| 0.0 | 9.0 | |
| 12 months ago | 18 days ago | |
| Python | Python | |
| Apache License 2.0 | 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.
tensorflow-yolo-v3
Posts with mentions or reviews of tensorflow-yolo-v3.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-27.
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How to use custom model for flutter app?
I used yolov4 and trained model on my classes, then saved weights in file.weights. Now, I want to integrate that model into my flutter app. On firebase, there is an option to use a custom model but that requires uploading .tflite file. My question is how can I convert my trained model weights and upload them as .tflite so could be used in my app. I have tried following this https://github.com/mystic123/tensorflow-yolo-v3 but not success. I would appreciate your help in the conversion of .weights to .tflite or suggest of there is any other way round
- “ValueError: cannot reshape array of size 278540 into shape (256,128,3,3)” Conversion YOLOv3 .weights to .pb
viseron
Posts with mentions or reviews of viseron.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-22.
- Viseron 2.2.0 - Self-hosted, local only NVR and AI Computer Vision software.
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PoE Camera Recommendations
I'm using 4 Dahua turret cameras, also setup exactly like u/o4b describes. Works flawlessly. While I'm also using Frigate, there's another similar piece of software called Viseron that I've just become aware of that looks similar. I can't speak for it at all as I'm very happy with Frigate, but if you're starting from nothing, you may as well consider which may work better for you.
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Viseron 2.0.0 - Self-hosted, local only NVR and AI Computer Vision software.
Check out the release notes: https://github.com/roflcoopter/viseron/releases/tag/v2.0.0
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surveillance station
Viseron
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Best self-hosteable NVR
I have been using zoneminder for years and love it. If you can actually get a tensorflow unit, Frigate can be good. Just heard about Viseron, and am looking at trying it. https://github.com/roflcoopter/viseron
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Have 16-camera Reolink NVR, looking for self-hosted person detection and notification solution
There is also: https://github.com/roflcoopter/viseron - which again, using mqtt. You would need to bridge it to Signal.
- Frigate without a coral? Worried about my CPU being hammered.
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Six-core CPUs finally overtake quad-core processors on Steam
I do love having my threadripper in my home docker server though. Home assistant, plex, viseron, etc. all love the available CPU.
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Indoor home security camera with privacy in mind
If not motioneye, there are a bunch of other free options. I run zoneminder - it should work there with filters to move clips from primary storage on a schedule. You could do it with this one + rclone as well: https://github.com/roflcoopter/viseron
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My wife and brother worked together to get me an RPi4 for Xmas! I'm so excited to throw HomeAssistant on it once we get home
viseron works pretty well for me with cpu only.
What are some alternatives?
When comparing tensorflow-yolo-v3 and viseron you can also consider the following projects:
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
frigate - NVR with realtime local object detection for IP cameras
edge-tpu-tiny-yolo - Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.
alpr-unconstrained - License Plate Detection and Recognition in Unconstrained Scenarios
keras-yolo3 - Training and Detecting Objects with YOLO3
moonfire-nvr - Moonfire NVR, a security camera network video recorder
yolov3-tf2 - YoloV3 Implemented in Tensorflow 2.0
OS-NVR - OS-NVR is a lightweight extensible CCTV system. Mirror of Codeberg.
yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > TFLite
os-nvr
tensorflow-lite-YOLOv3 - YOLOv3: convert .weights to .tflite format for tensorflow lite. Convert .weights to .pb format for tensorflow serving
frigate-hass-integration - Frigate integration for Home Assistant
tensorflow-yolo-v3 vs darknet
viseron vs frigate
tensorflow-yolo-v3 vs edge-tpu-tiny-yolo
viseron vs alpr-unconstrained
tensorflow-yolo-v3 vs keras-yolo3
viseron vs moonfire-nvr
tensorflow-yolo-v3 vs yolov3-tf2
viseron vs OS-NVR
tensorflow-yolo-v3 vs yolov3
viseron vs os-nvr
tensorflow-yolo-v3 vs tensorflow-lite-YOLOv3
viseron vs frigate-hass-integration