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on
CPU Upgrade
Update app.py
Browse files
app.py
CHANGED
@@ -285,6 +285,10 @@ class Engine(object):
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# Load the CSV
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df = pd.read_csv(csv_file)
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# order
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self.order = np.arange(len(df))
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np.random.shuffle(self.order) # Shuffle the order array
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@@ -293,9 +297,6 @@ class Engine(object):
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df = df.iloc[self.order].reset_index(drop=True)
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# Put image with id 732681614433401 on the top and then all the rest below
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df['id'] = df['id'].astype(str)
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#df = pd.concat([df[df['id'] == '495204901603170'], df[df['id'] != '495204901603170']])
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#df = pd.concat([df[df['id'] == '732681614433401'], df[df['id'] != '732681614433401']])
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# Get the image filenames and their coordinates
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self.images = [os.path.join(self.image_folder, f"{img_path}.jpg") for img_path in df['id'].tolist()[:]]
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# Load the CSV
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df = pd.read_csv(csv_file)
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df['id'] = df['id'].astype(str)
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df = pd.concat([df[df['id'] == '495204901603170'], df[df['id'] != '495204901603170']])
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df = pd.concat([df[df['id'] == '732681614433401'], df[df['id'] != '732681614433401']])
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# order
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self.order = np.arange(len(df))
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np.random.shuffle(self.order) # Shuffle the order array
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df = df.iloc[self.order].reset_index(drop=True)
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# Put image with id 732681614433401 on the top and then all the rest below
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# Get the image filenames and their coordinates
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self.images = [os.path.join(self.image_folder, f"{img_path}.jpg") for img_path in df['id'].tolist()[:]]
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