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AIGod
AIGod is a program with a graphical interface that will facilitate the use of the product by any user, written in Python. The program uses the well-known YOLOv5 recognition method, but has been slightly modified according to the developer's idea. AIGod has a wide range of recognition of various objects, ranging from people and vehicles, to determining the occurrence of a fire by smoke. There is also a model for recognizing people's faces, car license plates, deepfake face, and even a model that touches on military topics.
AI can work with images and videos, as well as with live broadcasts from webcams, and links to videos on YouTube. The result of the analysis can be seen immediately, and later, since all the work done is saved.
Some features have already been described, I will add a small list: - viewing the recognition result can be viewed from the installed programs on your OS or already built-in method in the program; - multiprocessing in face recognition mode or car numbers in online broadcast; - support for several languages; - checking the history of recognition, in order to avoid wasting time on absolutely the same task with the same file.
The program supports cross-platform and has compilation versions for Windows and Linux OS, which can affect most of those who want to use it. The big plus is that the product is distributed under the GNU license, its source code is open to anyone and is also absolutely free. The developer does not collect or send user information anywhere, and there is no advertising in the product.
Source: https://codeberg.org/krolaper/aigod Releases: https://codeberg.org/krolaper/aigod/releases
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AIGod's answer:
AIGod is a program with a graphical interface that will facilitate the use of the product by any user, written in Python. The program uses the well-known YOLOv5 recognition method, but has been slightly modified according to the developer's idea. AIGod has a wide range of recognition of various objects, ranging from people and vehicles, to determining the occurrence of a fire by smoke. There is also a model for recognizing people's faces, car license plates, deepfake face, and even a model that touches on military topics.
AI can work with images and videos, as well as with live broadcasts from webcams, and links to videos on YouTube. The result of the analysis can be seen immediately, and later, since all the work done is saved.
Some features have already been described, I will add a small list: - viewing the recognition result can be viewed from the installed programs on your OS or already built-in method in the program; - multiprocessing in face recognition mode or car numbers in online broadcast; - support for several languages; - checking the history of recognition, in order to avoid wasting time on absolutely the same task with the same file.
AIGod's answer:
AIGod's answer:
people from various industries and just housewives who want to achieve higher results in front of their goals, as well as develop and maintain a topical topic of discussion in the field of artificial intelligence
AIGod's answer:
The product is written in Python. The calculation product code Yolov5 is used.
Based on our record, YOLO seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 5 months ago
Then there is the creator of YOLO. His resume is epic. It's completely My Little Pony themed. Source: over 1 year ago
For the API, I've used python and django. For image processing and detecting persons in image, I used yolov3. If any person exceeded limit that user gave, the API sends notification to user via telegram. Source: over 1 year ago
The paper says the source code is available: Https://pjreddie.com/darknet/yolo/. Source: about 2 years ago
If you are trying to identify objects in an image (like 'cat', 'person', etc), then you might look at YOLO. There are lots of github projects using it to explore, too. Source: about 2 years ago
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