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Update README.md

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  1. README.md +1 -70
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@@ -45,76 +45,7 @@ import pandas as pd
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  import logging
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  try:
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- with open('/content/datasets/cinamonai/labels.json', 'r') as file:
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- labels = json.load(file)
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- df_1 = pd.DataFrame(list(labels.items()), columns=['file_name', 'label'])
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- except Exception as e:
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- logging.error(f"Lỗi khi tải nhãn: {e}")
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-
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- df_1['file_name'] = df_1['file_name'].apply(lambda x: f'/content/datasets/cinamonai/data/{x}.jpeg')
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-
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- df_1.head()
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- ```
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-
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- ### Đọc Dữ Liệu từ `labels.json` (VNonDB)
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-
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- ```python
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- import json
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- import pandas as pd
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- import logging
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-
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- try:
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- with open('/content/datasets/vnondb/labels.json', 'r') as file:
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- labels = json.load(file)
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- df_2 = pd.DataFrame(list(labels.items()), columns=['file_name', 'label'])
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- except Exception as e:
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- logging.error(f"Lỗi khi tải nhãn: {e}")
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-
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- df_2['file_name'] = df_2['file_name'].apply(lambda x: f'/content/datasets/vnondb/outputs_image/{x}.jpeg')
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-
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- df_2.head()
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- ```
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-
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- ## Hiển Thị Ảnh và Nhãn
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-
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- ### Hiển Thị Ảnh từ `df_1`
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-
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- ```python
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- import pandas as pd
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- import random
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- from PIL import Image
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- import matplotlib.pyplot as plt
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-
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- random_row = df_1.sample(n=1).iloc[0]
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- file_path = random_row['file_name']
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- image = Image.open(file_path).convert('RGB')
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- plt.figure(figsize=(20, 10))
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- plt.imshow(image)
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- plt.axis('off')
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- plt.show()
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-
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- print(f"Labeled as: {random_row['label']}")
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- ```
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-
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- ### Hiển Thị Ảnh từ `df_2`
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-
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- ```python
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- import pandas as pd
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- import random
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- from PIL import Image
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- import matplotlib.pyplot as plt
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-
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- random_row = df_2.sample(n=1).iloc[0]
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- file_path = random_row['file_name']
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- image = Image.open(file_path).convert('RGB')
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- plt.figure(figsize=(20, 10))
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- plt.imshow(image)
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- plt.axis('off')
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- plt.show()
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-
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- print(f"Labeled as: {random_row['label']}")
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- ```
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-
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  ```
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  df = pd.concat([df_1, df_2], ignore_index=True)
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  df.head()
 
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  import logging
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  try:
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+ with opendatasets
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  df = pd.concat([df_1, df_2], ignore_index=True)
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  df.head()