Spaces:
Running
on
T4
Running
on
T4
test new req
Browse files- helper/examples/examples.py +7 -4
- requirements.txt +4 -3
helper/examples/examples.py
CHANGED
@@ -14,8 +14,8 @@ class DemoImages:
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def __init__(self, url="Riksarkivet/test_images_demo", cache_dir="./helper/examples/.cache_images"):
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if not hasattr(self, "images_datasets"):
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self.images_datasets = datasets.load_dataset(url, cache_dir=cache_dir)
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self.example_df = self.images_datasets
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self.examples_list = self.convert_bytes_to_images()
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def convert_bytes_to_images(self):
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@@ -41,6 +41,9 @@ class DemoImages:
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if __name__ == "__main__":
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test = DemoImages(cache_dir=".cache_images")
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print(test.examples_list)
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def __init__(self, url="Riksarkivet/test_images_demo", cache_dir="./helper/examples/.cache_images"):
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if not hasattr(self, "images_datasets"):
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self.images_datasets = datasets.load_dataset(url, cache_dir=cache_dir, split="train")
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self.example_df = self.images_datasets.to_pandas()
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self.examples_list = self.convert_bytes_to_images()
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def convert_bytes_to_images(self):
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if __name__ == "__main__":
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# test = DemoImages(cache_dir=".cache_images")
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# print(test.examples_list)
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images_datasets = datasets.load_dataset("Riksarkivet/test_images_demo", cache_dir="./helper/examples/.cache_images")
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print(images_datasets["train"]["image"][0])
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requirements.txt
CHANGED
@@ -1,14 +1,14 @@
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1 |
torch==2.0.1
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torchvision==0.15.2
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openmim==0.3.9
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gradio==3.41.
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pandas==2.0.3
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numpy==1.25.0
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opencv-python-headless==4.7.0.72
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Jinja2==3.1.2
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transformers==4.30.2
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huggingface-hub==0.15.1
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datasets==2.
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requests==2.31.0
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pillow==9.5.0
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@@ -19,4 +19,5 @@ pillow==9.5.0
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# !mim install mmengine
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# !mim install mmcv
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# !mim install mmdet
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# !mim install mmocr
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torch==2.0.1
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torchvision==0.15.2
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openmim==0.3.9
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gradio==3.41.0
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pandas==2.0.3
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numpy==1.25.0
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opencv-python-headless==4.7.0.72
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Jinja2==3.1.2
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transformers==4.30.2
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huggingface-hub==0.15.1
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datasets==2.14.5
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requests==2.31.0
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pillow==9.5.0
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# !mim install mmengine
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# !mim install mmcv
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# !mim install mmdet
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# !mim install mmocr
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