Update plantsdataset.py
Browse files- plantsdataset.py +10 -5
plantsdataset.py
CHANGED
@@ -6,7 +6,7 @@ Automatically generated by Colaboratory.
|
|
6 |
Original file is located at
|
7 |
https://colab.research.google.com/drive/1nkvgrtbJQaIBdnxYHl8WTpKVL_AzAzux
|
8 |
"""
|
9 |
-
|
10 |
import datasets
|
11 |
from datasets import load_dataset, DatasetInfo, Features, Value, ClassLabel, Split, SplitGenerator, GeneratorBasedBuilder, BuilderConfig, Array3D, Version
|
12 |
import os
|
@@ -34,7 +34,7 @@ import numpy as np
|
|
34 |
from datasets import DatasetInfo, Features, Value, ClassLabel, Split, SplitGenerator, GeneratorBasedBuilder, BuilderConfig
|
35 |
from datasets import NamedSplit, Split, SplitGenerator
|
36 |
import gdown
|
37 |
-
_DRIVE_ID = "
|
38 |
_URL = f"https://drive.google.com/uc?export=download&id={_DRIVE_ID}"
|
39 |
|
40 |
class PlantsDataset(GeneratorBasedBuilder):
|
@@ -78,19 +78,24 @@ class PlantsDataset(GeneratorBasedBuilder):
|
|
78 |
label_names = self.info.features['label'].names
|
79 |
for label_name in label_names:
|
80 |
subfolder_path = os.path.join(data_folder, label_name)
|
|
|
|
|
|
|
81 |
label = label_names.index(label_name)
|
82 |
for root, _, files in os.walk(subfolder_path):
|
|
|
|
|
|
|
83 |
for file_name in files:
|
84 |
file_path = os.path.join(root, file_name)
|
85 |
if os.path.isfile(file_path) and file_name.lower().endswith(('.png', '.jpg', '.jpeg')):
|
86 |
-
# Image ID should be unique, use filename for simplicity
|
87 |
image_id = os.path.splitext(file_name)[0]
|
88 |
yield image_id, {
|
89 |
-
"image": file_path,
|
90 |
"label": label,
|
91 |
}
|
92 |
else:
|
93 |
-
print(f"Skipped file {file_path}, since it is not an image."
|
94 |
# Instantiate the dataset builder for PlantsDataset
|
95 |
plants_dataset = PlantsDataset()
|
96 |
|
|
|
6 |
Original file is located at
|
7 |
https://colab.research.google.com/drive/1nkvgrtbJQaIBdnxYHl8WTpKVL_AzAzux
|
8 |
"""
|
9 |
+
#https://drive.google.com/file/d/1QOFLMFCQn_RAjWf2Hbc80NZtxS2lOq3h/view?usp=share_link
|
10 |
import datasets
|
11 |
from datasets import load_dataset, DatasetInfo, Features, Value, ClassLabel, Split, SplitGenerator, GeneratorBasedBuilder, BuilderConfig, Array3D, Version
|
12 |
import os
|
|
|
34 |
from datasets import DatasetInfo, Features, Value, ClassLabel, Split, SplitGenerator, GeneratorBasedBuilder, BuilderConfig
|
35 |
from datasets import NamedSplit, Split, SplitGenerator
|
36 |
import gdown
|
37 |
+
_DRIVE_ID = "1QOFLMFCQn_RAjWf2Hbc80NZtxS2lOq3h"
|
38 |
_URL = f"https://drive.google.com/uc?export=download&id={_DRIVE_ID}"
|
39 |
|
40 |
class PlantsDataset(GeneratorBasedBuilder):
|
|
|
78 |
label_names = self.info.features['label'].names
|
79 |
for label_name in label_names:
|
80 |
subfolder_path = os.path.join(data_folder, label_name)
|
81 |
+
if not os.path.exists(subfolder_path):
|
82 |
+
print(f"Expected subfolder does not exist: {subfolder_path}")
|
83 |
+
continue
|
84 |
label = label_names.index(label_name)
|
85 |
for root, _, files in os.walk(subfolder_path):
|
86 |
+
if not files:
|
87 |
+
print(f"No image files found in: {root}")
|
88 |
+
continue
|
89 |
for file_name in files:
|
90 |
file_path = os.path.join(root, file_name)
|
91 |
if os.path.isfile(file_path) and file_name.lower().endswith(('.png', '.jpg', '.jpeg')):
|
|
|
92 |
image_id = os.path.splitext(file_name)[0]
|
93 |
yield image_id, {
|
94 |
+
"image": file_path,
|
95 |
"label": label,
|
96 |
}
|
97 |
else:
|
98 |
+
print(f"Skipped file {file_path}, since it is not an image.")
|
99 |
# Instantiate the dataset builder for PlantsDataset
|
100 |
plants_dataset = PlantsDataset()
|
101 |
|