About cityscapes' performance #1094
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I guess it may be caused by different GPU cards? Did you use your single GPU card? For example, from log is 4 GPU: |
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Thanks! I got it! |
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Dec 3, 2023
* add cam runner [wip] * update webcam runner and node api * reorganize module structure * add model node * add pose model node [wip] * update message * add monitor node * rename config * refactor webcam util * add update_route_info * add input_check_interval * add fps for one-euro in mmpose node * refactor visualition nodes * fix bug * modify runner argument and fix bug * add doc * add doc * add webcam_runner docstrings * add docstrings * update interface and docstring * add RecorderNode * * add syncrhonous result binding mode * refactor node event handler * fix typing * fix typing (open-mmlab#1082) * * Add RecorderNode for saving video to files * Add exiting handler method to nodes * Add VideoEndingMessage * rename _on_exit ot on_exit * fix typing * Fix a few issues * register node event handler in __init__ * change default pose model to vipnas_mblv3 * Node._on_exit -> Node.on_exit * fix typing * fix typing * change from thread based to process based * solve cuda distributed [wip] * fix process creating method and buffer size * thread based buffer * node based on thread * node set daemon=False as default * fix logging level and add docstrings * modify register_event * * reorganize webcam tool configs * modify frame rate calculation * rename BillboardNode as NoticeBoardNode * [WebcamAPI] Add demo README (open-mmlab#1133) * add README.md * update gif * [WebcamAPI] Add facwswap node and config (open-mmlab#1094) * add facwswap node * adapt to webcam_api * adapt to webcam_api * move config * add sync mode in runner * fix bugs and update nodes * [WebcamAPI] Supersaiyan (open-mmlab#1098) * add supersaiyan effects * fix init * apply background * update config * apply saiyan effects * rebase * rebase and fix * update doc * update docs * add load image from disk or url * make the resources to url links * mv load_image_from_disk_or_url to utils/misc * move effect funcs to webcam_api * rebase * fix pytest * fix docs * add get_local_path_given_url * add get_local_path_given_url * rename to get_cached_file_path * update readme * update readme * fix bug that only one bbox is detected for each class * fix faceswap config * add newyear demo (open-mmlab#1143) Co-authored-by: zengwang <zengwang430521@gmail.com> * [Feature] Add a `SpriteNode` for Webcam API (open-mmlab#1160) * Fix missing flag in `load_image_from_disk_or_url` * Add SpriteNode * Meow dwen dwen (open-mmlab#1173) * fix mmpose nodes * add dummy video capture * add xdwendwen node * fix configs * Update README.md * [WebcamAPI] Update XDwenDwen example (open-mmlab#1177) * Update XDwenDwen example * add rigid transform * update configs and readme files * extend meow dwen dwen * update config * support cfg-options * turn-off default help instruction * fix typo Co-authored-by: Jas <jinsheng@sensetime.com> Co-authored-by: Lumin <30328525+luminxu@users.noreply.github.com> Co-authored-by: zengwang <zengwang430521@gmail.com> Co-authored-by: Ma Zerun <mzr1996@163.com>
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Hi, I'm a fresher in mmseg, I have a naive problem yet I can't fix it. Sorry to bother you. When I used ocrnet script to train HRNetV2p-W18-Small backbone in cityscapes, the performance in val is below:
I check the log in offical, and found something is different with mine: As the script, we choose the max_iters=40000, but I found when my max_iters=4000, the epoch = 27, but the release in official epoch is 108.
Is this problem? and how to fix it?
Thanks!
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