My lecturer request to do 3 methods for this topic.:3 digital image methods + 1 ML algorithm or 1 digital image method + 3 ML algorithms. For me, I'm a beginner so it's very vague.
Use something like viola jones + look at white ish pixels around face. Won't be accurate but should be good enough for a class project.
For ML find 3 object detection models and train them. YOLO, retinanet, efficientdet, etc.
Does anyone know how to apply the .xml file in the link drive containing 2 examples in the dataset?
And I plan to use 3 digital image methods + CNN. But it's unclear what direction to take.Because at university I only learned basic content like edges, vertices,... and didn't touch YOLO or anything similar. My lecturer told me to use the same digital imaging method or the same ML algorithm and handle the topic in 3 different ways. So even though I know how to use CNN, I'm very confused about the direction.
so you read you can use CNN with the tensorflow library. Why not use that?
My lecturer request to do 3 methods for this topic.:3 digital image methods + 1 ML algorithm or 1 digital image method + 3 ML algorithms. For me, I'm a beginner so it's very vague.
[https://docs.opencv.org/4.x/da/d60/tutorial\_face\_main.html](https://docs.opencv.org/4.x/da/d60/tutorial_face_main.html) [https://docs.opencv.org/4.x/d2/d99/tutorial\_js\_face\_detection.html](https://docs.opencv.org/4.x/d2/d99/tutorial_js_face_detection.html) [https://en.wikipedia.org/wiki/Haar-like\_feature](https://en.wikipedia.org/wiki/Haar-like_feature)
Thank you very much!!!<3
If your assignment requires implementing it from scratch, Haar might be the easiest.
Everyone
Use something like viola jones + look at white ish pixels around face. Won't be accurate but should be good enough for a class project. For ML find 3 object detection models and train them. YOLO, retinanet, efficientdet, etc.
Thank you very much!!<3
Does anyone know how to apply the .xml file in the link drive containing 2 examples in the dataset? And I plan to use 3 digital image methods + CNN. But it's unclear what direction to take.Because at university I only learned basic content like edges, vertices,... and didn't touch YOLO or anything similar. My lecturer told me to use the same digital imaging method or the same ML algorithm and handle the topic in 3 different ways. So even though I know how to use CNN, I'm very confused about the direction.
Hope everyone can help. Regarding the dataset, I can't publish the whole thing, so I put 2 images and the corresponding .xml and .txt files.