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Dear all,
I'm facing a problem with data augmentation. I'm training VFNet defined according to the following config file:
```
dataset_type = 'CocoDataset'
data_root = '/storage/DSIP/Catchme1/d…
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Do you kown how to create wwn custom coco format panoramic segmentation dataset? for examlple panoramic_{}2017.json.
I would appreciate it if you could help me
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My config file is something like
dataset_type = 'CocoDataset'
data_root = 'data/coco/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53, 0],
std=[58.395, 57.12, 57.375, 1],
to_r…
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1. I prepared the customized coco-like data set
```
"info": {"description": "Example Dataset", "url": "https://github.com/waspinator/pycococreator", "version": "0.1.0", "year": 2018, "contributor": …
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Env: [docker hub](https://hub.docker.com/repository/docker/xundaoxd/clustered-object-detection-in-aerial-image/general)
Log:
Cloning into '.'...
Warning: Permanently added the RSA host key for IP…
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i want to train and test my coco style dataset. but i do not have the val set and test annotation. However, in the dataset config, it seems that the key ann_file is necessary. So i fill it with train …
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Hi,
related to the issue #4768
what i want to do is:
1. predict with not labeled pic
2. get segm as results
3. convert the saved segm result to coco format
4. convert coco format to labelme…
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2021-04-20 14:21:01,070 - mmdet - INFO - Environment info:
------------------------------------------------------------
sys.platform: linux
Python: 3.8.8 (default, Apr 13 2021, 19:58:26) [GCC 7.3.0…
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I tried to train on my custom data in coco format but no matter how I train for 10 epochs or 300 epochs I still get mAP=0,my custom data is originally in YOLOV5 format so I use this [https://github.co…
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As mmdetection recently release 2.15.1,
I want to use Mosaic and Mixup in Cascade RCNN,
However, when I replace the relevant config from YOLOX to Cascade RCNN, I got the following error:
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