lihao57 commited on
Commit
0cd4aa7
·
1 Parent(s): 8a56c8f

add camera_type field

Browse files
Files changed (3) hide show
  1. README.md +8 -9
  2. test/metadata.jsonl +2 -2
  3. train/metadata.jsonl +2 -2
README.md CHANGED
@@ -7,8 +7,6 @@ tags:
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  - line-segment-detection
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  - wireframe-parsing
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  - spherical image
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- github: https://github.com/lh9171338/ULSD-ISPRS
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- paper: https://www.sciencedirect.com/science/article/abs/pii/S0924271621001623
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  size_categories: 1K<n<10
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  ---
@@ -60,22 +58,23 @@ ds = load_dataset("lh9171338/SS360")
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  # "image": Image(),
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  # "image_file": Value("string"),
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  # "image_size": Sequence(Value("int32")),
 
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  # "lines": Sequence(Sequence(Sequence(Value("float32")))),
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  # })
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  # ds = load_dataset("lh9171338/SS360", features=features, revision="refs/convert/parquet")
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  print(ds)
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  # DatasetDict({
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  # train: Dataset({
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- # features: ['image', 'image_file', 'image_size', 'lines'],
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  # num_rows: 950
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  # })
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  # test: Dataset({
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- # features: ['image', 'image_file', 'image_size', 'lines'],
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  # num_rows: 118
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  # })
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  # })
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  print(ds["test"][0].keys())
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- # dict_keys(['image', 'image_file', 'image_size', 'lines'])
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  ```
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  - Load the dataset from local
@@ -87,16 +86,16 @@ ds = load_dataset("imagefolder", data_dir=".")
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  print(ds)
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  # DatasetDict({
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  # train: Dataset({
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- # features: ['image', 'image_file', 'image_size', 'lines'],
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  # num_rows: 950
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  # })
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  # test: Dataset({
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- # features: ['image', 'image_file', 'image_size', 'lines'],
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  # num_rows: 118
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  # })
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  # })
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  print(ds["test"][0].keys())
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- # dict_keys(['image', 'image_file', 'image_size', 'lines'])
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  ```
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  - Load the dataset with jsonl files
@@ -106,7 +105,7 @@ import jsonlines
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  with jsonlines.open("test/metadata.jsonl") as reader:
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  infos = list(reader)
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  print(infos[0].keys())
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- # dict_keys(['file_name', 'image_file', 'image_size', 'lines'])
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  ```
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  ## Citation
 
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  - line-segment-detection
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  - wireframe-parsing
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  - spherical image
 
 
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  size_categories: 1K<n<10
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  ---
 
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  # "image": Image(),
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  # "image_file": Value("string"),
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  # "image_size": Sequence(Value("int32")),
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+ # "camera_type": Value("string"),
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  # "lines": Sequence(Sequence(Sequence(Value("float32")))),
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  # })
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  # ds = load_dataset("lh9171338/SS360", features=features, revision="refs/convert/parquet")
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  print(ds)
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  # DatasetDict({
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  # train: Dataset({
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+ # features: ['image', 'image_file', 'image_size', 'camera_type', 'lines'],
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  # num_rows: 950
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  # })
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  # test: Dataset({
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+ # features: ['image', 'image_file', 'image_size', 'camera_type', 'lines'],
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  # num_rows: 118
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  # })
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  # })
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  print(ds["test"][0].keys())
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+ # dict_keys(['image', 'image_file', 'image_size', 'camera_type', 'lines'])
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  ```
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  - Load the dataset from local
 
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  print(ds)
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  # DatasetDict({
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  # train: Dataset({
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+ # features: ['image', 'image_file', 'image_size', 'camera_type', 'lines'],
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  # num_rows: 950
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  # })
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  # test: Dataset({
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+ # features: ['image', 'image_file', 'image_size', 'camera_type', 'lines'],
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  # num_rows: 118
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  # })
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  # })
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  print(ds["test"][0].keys())
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+ # dict_keys(['image', 'image_file', 'image_size', 'camera_type', 'lines'])
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  ```
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  - Load the dataset with jsonl files
 
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  with jsonlines.open("test/metadata.jsonl") as reader:
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  infos = list(reader)
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  print(infos[0].keys())
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+ # dict_keys(['image', 'image_file', 'image_size', 'camera_type', 'lines'])
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  ```
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  ## Citation
test/metadata.jsonl CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:c0bbae2909831ef1f992284a5e10828426c8cc5c7dfb5adc54e1a2174dfe399b
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+ size 629221
train/metadata.jsonl CHANGED
@@ -1,3 +1,3 @@
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- size 4219237
 
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+ size 4245837