Verdemax 7772 1 x 5 m 5 mm Square Net Miniroll Mesh - Green

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The difference between python u2net_portrait_demo.py and python u2net_portrait_test.py is that we added a simple face detection step before the portrait generation in u2net_portrait_demo.py. Because the testing set of APDrawingGAN are normalized and cropped to 512x512 for including only heads of humans, while our own dataset may varies with different resolutions and contents. Therefore, the code python u2net_portrait_demo.py will detect the biggest face from the given image and then crop, pad and resize the ROI to 512x512 for feeding to the network. The following figure shows how to take your own photos for generating high quality portraits. Recall information they have learned in previous lessons and apply it to activities such as this one. Run the inference by command: python u2net_human_seg_test.py and the results will be output into the corresponding dirctory, e.g. ./test_data/u2net_test_human_images_results/ They could be used for a variety of thing: you could turn it into a die, a storage box for small items like rubbers or paper clips, they could even be decorated to make an interesting Christmas tree adornment.

Notes: Due to the labeling accuracy of the Supervisely Person Dataset, the human segmentation model (u2net_human_seg.pth) here won't give you hair-level accuracy. But it should be more robust than u2net trained with DUTS-TR dataset on general human segmentation task. It can be used for human portrait segmentation, human body segmentation, etc. If you and your pupils found these nets useful and enjoyed the activities you can do with them, you might want to try these similar resources too: These Nets of 3D Shapes resources are designed to help you teach your Year 3-5 or KS2 pupils about the properties of 3D shapes.

Curriculum

Cd to the directory 'U-2-Net', run the train or inference process by command: python u2net_train.py This is the official repo for our paper U 2-Net(U square net) published in Pattern Recognition 2020: U 2-Net: Going Deeper with Nested U-Structure for Salient Object Detection Plus, all of our 3D nets are printable, so your pupils can make as many as they like until they are experts in 3D shapes.

Making these boxes is a hands-on activity that will benefit the kinaesthetic learners in your class too. They can get a real feel for what makes up a 3D shape and they're more likely to remember what they've learnt in the future. You could also use this as a follow-up activity after using our Properties of 3D Shapes Worksheet. Why do we use nets of shapes to help us with geometry? The rectangles are drawn next to each other, joined along the dimension that is the length of the prism.To run the human segmentation model, please first downlowd the u2net_human_seg.pth model weights into ./saved_models/u2net_human_seg/. You have the facts, now it is up to you to decide which Titan you would place your bets on in a battle for victory.