Learn The Reason Why Your Fancy Computer Vision App Isn't Working
Computer vision is an aspect of artificial intelligence (AI) that allows computers and systems to extract useful information from digital images, videos, and other visual processes. It can help you make recommendations and take action on the basis of that information. If AI allows computers to think, computer vision allows them to see, observe and comprehend.
A certification in artificial intelligence and machine learning program like the one by Imarticus will strengthen your basic understanding of artificial intelligence and will help you learn computer vision more efficiently. You can get the best benefits from our experienced mentorship facility and ensure that you get a realistic understanding of artificial intelligence (AI) and machine learning (ML). We also have real-world projects from various industries to help you. Overall, this program can be very helpful for you in exploring gainful career opportunities in artificial intelligence and machine learning which are in great demand.
Why Might Your Computer Vision App Stop Working?
As per the experience shared by many users, there is one technical glitch that can often be the reason for your computer vision app not working. It is not a complex theoretical cinder or any GPU-related concern. It is the fact that nearly everyone loads their images into memory sidelong without having a hint about it. And, computers are inefficient in the detection of objects or recognizing games in sidelong images.
Exif metadata is not regarded as an indigenous component of the JPEG file format. It was more of a second thought derived from the TIFF file format and attached later with the JPEG file format. This maintained reverse compatibility with the viewers of old images, but it only meant that a few programs never analyzed Exif data.
Most of the Python libraries which work with image data such as Keras, Numpy, Tensor Flow, and Scipy, present themselves as scientific tools to be used by serious people working with generic sets of data. They hardly bother themselves with consumer-related problems such as automated image rotation, even if every image captured with an advanced camera requires it.
This simply means that whenever an image is loaded using a Python library, you will get original and unrotated image data. Are you thinking about what happens if you try feeding a sidelong or upside-down image in an object detection or face detection model? The detector will fail as you have given it bad and useless data.
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Now that you have known the details of this program, you must be looking forward to getting enrolled in this IIT artificial intelligence course. To get admission, you just need to visit this link and share the details you will be asked for. Imarticus’ team will get back to you and the process will be carried on further.
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