manuel-delverme
commited on
Commit
•
c765e64
1
Parent(s):
bb8db92
Upload folder using huggingface_hub
Browse files- .idea/inspectionProfiles/Project_Default.xml +0 -0
- .idea/inspectionProfiles/profiles_settings.xml +6 -0
- .idea/modules.xml +8 -0
- .idea/test_repo.iml +8 -0
- .idea/workspace.xml +8 -0
- annotations/test_annotations/mask.tar.gz +3 -0
- annotations/train_annotations/mask.tar.gz +3 -0
- annotations/val_annotations/mask.tar.gz +3 -0
- test.jsonl +0 -0
- test_repo.py +144 -0
- train.jsonl +0 -0
- val.jsonl +0 -0
.idea/inspectionProfiles/Project_Default.xml
ADDED
The diff for this file is too large to render.
See raw diff
|
|
.idea/inspectionProfiles/profiles_settings.xml
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<component name="InspectionProjectProfileManager">
|
2 |
+
<settings>
|
3 |
+
<option name="USE_PROJECT_PROFILE" value="false" />
|
4 |
+
<version value="1.0" />
|
5 |
+
</settings>
|
6 |
+
</component>
|
.idea/modules.xml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<?xml version="1.0" encoding="UTF-8"?>
|
2 |
+
<project version="4">
|
3 |
+
<component name="ProjectModuleManager">
|
4 |
+
<modules>
|
5 |
+
<module fileurl="file://$PROJECT_DIR$/.idea/test_repo.iml" filepath="$PROJECT_DIR$/.idea/test_repo.iml" />
|
6 |
+
</modules>
|
7 |
+
</component>
|
8 |
+
</project>
|
.idea/test_repo.iml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<?xml version="1.0" encoding="UTF-8"?>
|
2 |
+
<module type="PYTHON_MODULE" version="4">
|
3 |
+
<component name="NewModuleRootManager">
|
4 |
+
<content url="file://$MODULE_DIR$" />
|
5 |
+
<orderEntry type="inheritedJdk" />
|
6 |
+
<orderEntry type="sourceFolder" forTests="false" />
|
7 |
+
</component>
|
8 |
+
</module>
|
.idea/workspace.xml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
<?xml version="1.0" encoding="UTF-8"?>
|
2 |
+
<project version="4">
|
3 |
+
<component name="ProjectViewState">
|
4 |
+
<option name="hideEmptyMiddlePackages" value="true" />
|
5 |
+
<option name="showExcludedFiles" value="false" />
|
6 |
+
<option name="showLibraryContents" value="true" />
|
7 |
+
</component>
|
8 |
+
</project>
|
annotations/test_annotations/mask.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2692a5f89d12e62ef160b7c14f26a030213b1f4338d2efe9dc739a741955c388
|
3 |
+
size 192406
|
annotations/train_annotations/mask.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:31f903069f512aa44b22924b5ddf2ed4e47c8de6e4a64a1b3e92c669e5b46bd9
|
3 |
+
size 1884937
|
annotations/val_annotations/mask.tar.gz
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:65eaee2355191385bc5a57dfe09f83a8144a1789dc600f82ac08c587d95d629f
|
3 |
+
size 200268
|
test.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|
test_repo.py
ADDED
@@ -0,0 +1,144 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
|
2 |
+
#
|
3 |
+
# Licensed under the Apache License, Version 2.0 (the "License");
|
4 |
+
# TODO: Address all TODOs and remove all explanatory comments
|
5 |
+
"""TODO: Add a description here."""
|
6 |
+
|
7 |
+
import json
|
8 |
+
import os
|
9 |
+
|
10 |
+
import PIL.Image
|
11 |
+
import datasets
|
12 |
+
import numpy as np
|
13 |
+
|
14 |
+
for _ in range(10):
|
15 |
+
print("LOADING SCRIPT")
|
16 |
+
|
17 |
+
# TODO: Add BibTeX citation
|
18 |
+
# Find for instance the citation on arxiv or on the dataset repo/website
|
19 |
+
_CITATION = """\
|
20 |
+
@InProceedings{huggingface:dataset,
|
21 |
+
title = {A great new dataset},
|
22 |
+
author={huggingface, Inc.
|
23 |
+
},
|
24 |
+
year={2020}
|
25 |
+
}
|
26 |
+
"""
|
27 |
+
|
28 |
+
# TODO: Add description of the dataset here
|
29 |
+
# You can copy an official description
|
30 |
+
_DESCRIPTION = """\
|
31 |
+
This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
|
32 |
+
"""
|
33 |
+
|
34 |
+
# TODO: Add a link to an official homepage for the dataset here
|
35 |
+
_HOMEPAGE = ""
|
36 |
+
|
37 |
+
# TODO: Add the licence for the dataset here if you can find it
|
38 |
+
_LICENSE = ""
|
39 |
+
|
40 |
+
# TODO: Add link to the official dataset URLs here
|
41 |
+
# The HuggingFace Datasets library doesn't host the datasets but only points to the original files.
|
42 |
+
# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
|
43 |
+
_URLS = {
|
44 |
+
"8x8": [
|
45 |
+
"https://huggingface.co/datasets/Prisma-Multimodal/segmented-imagenet1k-subset/resolve/main/images.tar.gz?download=true",
|
46 |
+
"https://huggingface.co/datasets/manuel-delverme/test_repo/resolve/main/annotations/{split}_annotations/mask.tar.gz?download=true",
|
47 |
+
"https://huggingface.co/datasets/manuel-delverme/test_repo/resolve/main/{split}.jsonl?download=true"
|
48 |
+
]
|
49 |
+
}
|
50 |
+
|
51 |
+
|
52 |
+
# TODO: Name of the dataset usually matches the script name with CamelCase instead of snake_case
|
53 |
+
class PatchyImagenet(datasets.GeneratorBasedBuilder):
|
54 |
+
"""TODO: Short description of my dataset."""
|
55 |
+
|
56 |
+
VERSION = datasets.Version("0.0.1")
|
57 |
+
|
58 |
+
# This is an example of a dataset with multiple configurations.
|
59 |
+
# If you don't want/need to define several sub-sets in your dataset,
|
60 |
+
# just remove the BUILDER_CONFIG_CLASS and the BUILDER_CONFIGS attributes.
|
61 |
+
|
62 |
+
BUILDER_CONFIGS = [
|
63 |
+
# datasets.BuilderConfig(name="1x1", version=VERSION, description="Patchy Imagenet with 1x1 resolution (this is the original resolution)"),
|
64 |
+
datasets.BuilderConfig(name="8x8", version=VERSION, description="Patchy Imagenet with 8x8 resolution"),
|
65 |
+
# datasets.BuilderConfig(name="16x16", version=VERSION, description="Patchy Imagenet with 16x16 resolution"),
|
66 |
+
# datasets.BuilderConfig(name="32x32", version=VERSION, description="Patchy Imagenet with 32x32 resolution"),
|
67 |
+
# datasets.BuilderConfig(name="64x64", version=VERSION, description="Patchy Imagenet with 64x64 resolution"),
|
68 |
+
]
|
69 |
+
DEFAULT_CONFIG_NAME = "8x8"
|
70 |
+
|
71 |
+
def _info(self):
|
72 |
+
features = datasets.Features(
|
73 |
+
{
|
74 |
+
"image": datasets.Image(),
|
75 |
+
"patches": datasets.Features(
|
76 |
+
{
|
77 |
+
# "categories": datasets.Sequence(datasets.ClassLabel(names=_IMAGENET_CLASSES)),
|
78 |
+
"categories": datasets.Value("string"),
|
79 |
+
"scores": datasets.Sequence(datasets.Value("float32")),
|
80 |
+
"mask": datasets.Array2D(shape=(224, 224), dtype="bool"),
|
81 |
+
# "mask": datasets.Sequence(datasets.Image()),
|
82 |
+
}
|
83 |
+
),
|
84 |
+
}
|
85 |
+
)
|
86 |
+
return datasets.DatasetInfo(
|
87 |
+
description=_DESCRIPTION,
|
88 |
+
# This defines the different columns of the dataset and their types
|
89 |
+
features=features,
|
90 |
+
# Homepage of the dataset for documentation
|
91 |
+
homepage=_HOMEPAGE,
|
92 |
+
# License for the dataset if available
|
93 |
+
license=_LICENSE,
|
94 |
+
# Citation for the dataset
|
95 |
+
citation=_CITATION,
|
96 |
+
)
|
97 |
+
|
98 |
+
def _split_generators(self, dl_manager):
|
99 |
+
# TODO: This method is tasked with downloading/extracting the data and defining the splits depending on the configuration
|
100 |
+
# If several configurations are possible (listed in BUILDER_CONFIGS), the configuration selected by the user is in self.config.name
|
101 |
+
|
102 |
+
# dl_manager is a datasets.download.DownloadManager that can be used to download and extract URLS
|
103 |
+
# It can accept any type or nested list/dict and will give back the same structure with the url replaced with path to local files.
|
104 |
+
# By default the archives will be extracted and a path to a cached folder where they are extracted is returned instead of the archive
|
105 |
+
url_templates = _URLS[self.config.name]
|
106 |
+
|
107 |
+
split_kwargs = {}
|
108 |
+
for split in ["train", "test", "val"]:
|
109 |
+
urls = [url.format(split=split) for url in url_templates]
|
110 |
+
image_dir, mask_dir, metadata_file = dl_manager.download_and_extract(urls)
|
111 |
+
split_kwargs[split] = {
|
112 |
+
"meta_path": metadata_file,
|
113 |
+
"image_dir": image_dir, "mask_dir": mask_dir,
|
114 |
+
"split": split
|
115 |
+
}
|
116 |
+
|
117 |
+
return [
|
118 |
+
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs=split_kwargs["train"]),
|
119 |
+
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs=split_kwargs["val"]),
|
120 |
+
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs=split_kwargs["test"]),
|
121 |
+
]
|
122 |
+
|
123 |
+
# method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
|
124 |
+
def _generate_examples(self, meta_path, image_dir, mask_dir, split):
|
125 |
+
# TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
|
126 |
+
# The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
|
127 |
+
with open(meta_path, encoding="utf-8") as f:
|
128 |
+
for key, row in enumerate(f):
|
129 |
+
data = json.loads(row)
|
130 |
+
image_path = os.path.join(image_dir, "images", f"{split}_images", data["file_name"])
|
131 |
+
sample_name, _extension = os.path.splitext(data["file_name"])
|
132 |
+
mask_file = os.path.join(mask_dir, "masks", sample_name + ".npy")
|
133 |
+
mask = np.load(mask_file).astype(bool)
|
134 |
+
# with open(image_path, "rb") as f:
|
135 |
+
# breakpoint()
|
136 |
+
pil_image = PIL.Image.open(image_path)
|
137 |
+
yield key, {
|
138 |
+
"image": pil_image,
|
139 |
+
"patches": {
|
140 |
+
"categories": data["patches"]["categories"],
|
141 |
+
"scores": data["patches"]["scores"],
|
142 |
+
"mask": list(mask),
|
143 |
+
}
|
144 |
+
}
|
train.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|
val.jsonl
ADDED
The diff for this file is too large to render.
See raw diff
|
|