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I was interested until I saw you have to purchase something to train your own models. I am wondering how this compares to Darknet by Joseph Redmon [1]. You can

by eggy 6y ago

I was interested until I saw you have to purchase something to train your own models. I am wondering how this compares to Darknet by Joseph Redmon [1]. You can do most of what I see on the Sod site, and train your own models. It's in C too. [1] https://pjreddie.com/darknet/ https://pjreddie.com/darknet/

qchris 6y ago
Just a quick heads-up that Joseph Redmon isn't working on the development on Darknet any longer, and the YOLO fork by AlexeyAB [0] (now on YOLOv4) is one people should also consider using moving forward[1]. [0] https://github.com/AlexeyAB/darknet https://github.com/AlexeyAB/darknet [1] https://mobile.twitter.com/pjreddie/status/1253891078182199296 https://mobile.twitter.com/pjreddie/status/12538910781821992...
- eggy 6y ago
  Yes, I have been following darknet for a while now. I haven't tried YOLOv4 yet. Any comments on what SOD brings to the table in comparison to darknet?
  - qchris 6y ago
    Honestly, I'm not sure. It seems like they cover slightly different fields, despite having some overlap. AFAIK, Darknet doesn't natively do a bunch of the image processing work that Sod can do, like edge detection with Canny, because if you wanted that, you'd just use OpenCV. I'd imagine that based on the licensing, this is probably closer to the open-sourcing (well, sort of, since the commercial applications and GPU training requires a paid license) of an internal tool that the company is using on the backend of their own API-driven machine learning business. So, it covers some things that Darknet isn't really designed to do, since real-time object detection isn't the main area they're really interested in.
    - eggy 6y ago
      Real-time object detection is what YOLO does and darknet implements it, but I see where you are going with the edge detection in SOD vs. darknet. You add in OpenCV if you want to use it.
symisc_devel 6y ago
There is nothing to purchase at all if you want to train your own realnet models on the CPU such as Pedestrian, Car, etc. Just follow the documentation at https://sod.pixlab.io/api.html#sod_realnet_trainer https://sod.pixlab.io/api.html#sod_realnet_trainer on how to do so.
- eggy 6y ago
  The site says "The syntax is based on the darknet framework...". What are the differences in capabilities? Not sure yet. I'll have to look more into it, but I was hoping somebody here could tell me if they have experience with both. Why would I use this over darknet and the variations of Yolo - YOLOv3 or YOLOv4?

by eggy 6y ago

qchris 6y ago

Just a quick heads-up that Joseph Redmon isn't working on the development on Darknet any longer, and the YOLO fork by AlexeyAB [0] (now on YOLOv4) is one people should also consider using moving forward[1]. [0] https://github.com/AlexeyAB/darknet https://github.com/AlexeyAB/darknet [1] https://mobile.twitter.com/pjreddie/status/1253891078182199296 https://mobile.twitter.com/pjreddie/status/12538910781821992...

eggy 6y ago
Yes, I have been following darknet for a while now. I haven't tried YOLOv4 yet. Any comments on what SOD brings to the table in comparison to darknet?
- qchris 6y ago
  Honestly, I'm not sure. It seems like they cover slightly different fields, despite having some overlap. AFAIK, Darknet doesn't natively do a bunch of the image processing work that Sod can do, like edge detection with Canny, because if you wanted that, you'd just use OpenCV. I'd imagine that based on the licensing, this is probably closer to the open-sourcing (well, sort of, since the commercial applications and GPU training requires a paid license) of an internal tool that the company is using on the backend of their own API-driven machine learning business. So, it covers some things that Darknet isn't really designed to do, since real-time object detection isn't the main area they're really interested in.
  - eggy 6y ago
    Real-time object detection is what YOLO does and darknet implements it, but I see where you are going with the edge detection in SOD vs. darknet. You add in OpenCV if you want to use it.

symisc_devel 6y ago

There is nothing to purchase at all if you want to train your own realnet models on the CPU such as Pedestrian, Car, etc. Just follow the documentation at https://sod.pixlab.io/api.html#sod_realnet_trainer https://sod.pixlab.io/api.html#sod_realnet_trainer on how to do so.

eggy 6y ago
The site says "The syntax is based on the darknet framework...". What are the differences in capabilities? Not sure yet. I'll have to look more into it, but I was hoping somebody here could tell me if they have experience with both. Why would I use this over darknet and the variations of Yolo - YOLOv3 or YOLOv4?