Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020
Hello. I have an important question about the coco format. I reviewed the way I can change a dataset into coco format and fortunately I found a tool ( DataTorch) which helps me in getting the bounding boxes dimensions. The question is that I can use this tool to calculate the bounding boxes for approximately 15000 images but at the same time this is done manually and I should take each image by itself and I guess this is so time consuming, can you provide me with a way to get all the images in my dataset into coco format in a much faster way please? I would really appreciate your help.
I just uploaded this image to confirm from you if this is the format required
Hello. I have an important question about the coco format. I reviewed the way I can change a dataset into coco format and fortunately I found a tool ( DataTorch) which helps me in getting the bounding boxes dimensions. The question is that I can use this tool to calculate the bounding boxes for approximately 15000 images but at the same time this is done manually and I should take each image by itself and I guess this is so time consuming, can you provide me with a way to get all the images in my dataset into coco format in a much faster way please? I would really appreciate your help.
I just uploaded this image to confirm from you if this is the format required