InternImage
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OpenGVLab
[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions
i only need to detect image objects, i use the checkpoint: down from https://huggingface.co/OpenGVLab/InternImage/blob/main/cascade_internimage_xl_fpn_3x_coco.pth, and set config= detection/configs/coco/cascade_internimage_xl_fpn_3x_coco.py. then i try to send a path of a image, I run...
我用ADE20K CUDA_VISIBLE_DEVICES=0 python image_demo.py \ datapics/demo.jpg \ configs/ade20k/upernet_internimage_t_512_160k_ade20k.py \ checkpoint_dir/seg/upernet_internimage_t_512_160k_ade20k.pth \ --palette ade20k 得到的结果非常好, 但是当我用cityscapes结果非常差, CUDA_VISIBLE_DEVICES=0 python image_demo.py \ datapics/demo.jpg \ configs/cityscapes/upernet_internimage_xl_512x1024_160k_mapillary2cityscapes.py \ checkpoint_dir/upernet_internimage_xl_512x1024_160k_mapillary2cityscapes.pth \ --palette cityscapes  这是什么原因呢
Hello, I have been working to try to export an onnx classification model as fp16 but have been running into issues as certain layers are not converting to fp16. Here...
Hi, thank you very much for your wonderful work. I just want to ask can we use this model for different image modalities like RGB and Thermal image , as...
After converting to tensorrt format, I try to do inference using the mmdeploy's python API. However, it shows ``` [2024-07-03 01:07:52.341] [mmdeploy] [info] [model.cpp:35] [DirectoryModel] Load model: "./work_dirs/mmseg/upernet_internimage_t_512_160k_ade20k" [2024-07-03 01:07:52.639]...
./dist_train.sh configs/coco/mask_rcnn_internimage_b_fpn_3x_coco.py 1 --local-rank 0 /home/ahs/anaconda3/envs/llm/lib/python3.9/site-packages/torch/distributed/launch.py:181: FutureWarning: The module torch.distributed.launch is deprecated and will be removed in future. Use torchrun. Note that --use-env is set by default in torchrun. If...
Traceback (most recent call last): File "/meta/cash/llm/InternImage/classification/main.py", line 661, in main(config) File "/meta/cash/llm/InternImage/classification/main.py", line 275, in main acc1, acc5, loss = validate(config, data_loader_val, model) File "/home/ahs/anaconda3/envs/llm/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context...
# Objective Add Instance segmentation sample on detection directory and let it be able to run not only on a single image but also on image containing directory. # Test...
nn.Conv2d( channels, channels, kernel_size=dw_kernel_size, stride=1, padding=(dw_kernel_size - 1) // 2, groups=channels) dw_kernel_size 是元组无法进行计算
