Fix some browse dataset script bugs and draw textdet gt instance with ignore flags

[KevinNuNu]

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Motivation

Please describe the motivation of this PR and the goal you want to achieve through this PR.

Modification

1.textdet可视化gt_instance 增加根据ignore属性情况来可视化的功能
2.明确recog_lmdb_dataset在准备数据时属性值含义，将img_key内容赋给results['img_path']会导致后续的一些奇怪的报错
3.LoadImageFromNDArray函数不再强制赋值results['img_path']=None，同2会导致后续一些奇怪的报错
4.修复make_grid函数pipeline模式下显示ori_shapes数值错误的bug
5.删除InspectCompose 记录原始数据部分，修复后续找不到'data_sample'关键字的bug
6.修复auto+original模式下默认只使用LoadImageFromFile的图片读取方式的bug，优化为优先选用自定义图片读取方式
7.修复可视化test数据集时，由于test_pipeline的LoadOCRAnnotation位于倒数第二步gt_instance都为原图尺度，导致在缩放后的图像上画上了原图尺度的标注的bug
8.修复textrecog读取灰度图片时产生的bug

BC-breaking (Optional)

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Use cases (Optional)

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• Bug fixes are covered by unit tests, the case that causes the bug should be added in the unit tests.
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[codecov]

Codecov Report

Base: 88.30% // Head: 88.24% // Decreases project coverage by -0.07% ⚠️

Coverage data is based on head (aae17ab) compared to base (332089c).
Patch coverage: 42.85% of modified lines in pull request are covered.

❗ Current head aae17ab differs from pull request most recent head 38b5350. Consider uploading reports for the commit 38b5350 to get more accurate results

Additional details and impacted files

@@             Coverage Diff             @@
##           dev-1.x    #1701      +/-   ##
===========================================
- Coverage    88.30%   88.24%   -0.07%     
===========================================
  Files          175      175              
  Lines        10904    10913       +9     
  Branches      1529     1531       +2     
===========================================
+ Hits          9629     9630       +1     
- Misses         993      999       +6     
- Partials       282      284       +2     

Flag	Coverage Δ
unittests	88.24% <42.85%> (-0.07%)	⬇️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
mmocr/visualization/textdet_visualizer.py	84.74% <30.00%> (-11.26%)	⬇️
mmocr/datasets/transforms/loading.py	96.29% <50.00%> (-0.60%)	⬇️
mmocr/datasets/recog_lmdb_dataset.py	82.00% <100.00%> (ø)
mmocr/models/textrecog/decoders/aster_decoder.py	100.00% <0.00%> (ø)

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[Harold-lkk]

what is the problem when img_path is set in recog_lmdb_dataset?

[KevinNuNu]

what is the problem when img_path is set in recog_lmdb_dataset?

Recog_lmdb_dataset里现在img_path这个属性实际赋的值时img_key，后续在调用results['img_path']的时候拿到的实际是img_key( like ‘image-0000001’)，例如这里就会报错，拿到的image-000001不是原文件的真实文件名。

mmocr/tools/analysis_tools/browse_dataset.py

Lines 380 to 389 in 27b6a68

	if hasattr(datasample, 'img_path'):
	filename = osp.basename(datasample.img_path)
	else:
	# some dataset have not image path
	filename = f'{i}.jpg'
	out_file = osp.join(args.output_dir,
	filename) if args.output_dir is not None else None
	if out_file is not None:
	mmcv.imwrite(image[..., ::-1], out_file)