OpenCV and "AI" can work well together; see YOLO: https://pjreddie.com/darknet/yolo/. - Source: Hacker News / 7 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: almost 2 years 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: over 2 years ago

Improve your website speed and mobile responsiveness. Google loves websites that load fast. Make sure your pictures aren't heavy. Use apps like TinyJPG. Use the right amount of animation because too much of anything is bad. Source: 9 months ago

Extract the scanned image and resize to make it a bit smaller, then compress the images on tinyjpg.com, merge them all into one pdf file using smallpdf, finally compress the pdf file again on the same website. Source: over 1 year ago

I'd say that a proper OR recommended approach towards optimizing images for the web is to manually compress them with compression tools like TinyJPG or Squoosh before uploading them to your favorite image CDN. Why? you'd ask me. - Source: dev.to / over 1 year ago

Oh and for the file size: compressing is usually better than resizing. And your image is a PNG which is much bigger in size than a JPG and you barely notice the difference. You can use https://tinyjpg.com/ or any proper image editor for good compression or even in Wonderdraft, you can (for sharing on Reddit) better export it as a JPG and at 80% or so. Source: over 1 year ago

Compress image using commandline tool (convert / jpegoptim) or online tool - https://tinyjpg.com/. - Source: dev.to / almost 2 years ago