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Runtime error
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Upload 7 files
Browse files- 0067_01.jpg +0 -0
- 0229_01.jpg +0 -0
- 0385_01.jpg +0 -0
- app.py +43 -0
- final_model.h5 +3 -0
- label.txt +4000 -0
- requirements.txt +23 -0
0067_01.jpg
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0229_01.jpg
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0385_01.jpg
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app.py
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import gradio as gr
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import cv2
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import requests
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import gdown
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import tensorflow as tf
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from tensorflow import keras
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import numpy as np
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from keras.models import load_model
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path = [['0229_01.jpg'], ['0385_01.jpg'], ['0067_01.jpg']]
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URL = 'https://drive.google.com/file/d/1TpQmvq2R8nHy9CQaVb0jtMMuRQA0Cw0L/view?usp=sharing'
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output_path = 'label.txt'
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gdown.download(URL, output_path, quiet=False,fuzzy=True)
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with open(output_path,'r') as file:
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LABELS = [x.strip() for x in file.readlines()]
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num_classes = 4000
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IMG_SIZE = 224
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def _normalize_img(img):
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img = tf.cast(img, tf.float32)/255. # All images will be rescaled by 1./255
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img = tf.image.resize(img, (IMG_SIZE, IMG_SIZE), method= 'bilinear')
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return (img)
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model = load_model("final_model.h5")
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def predict_fn(img):
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img = img.convert('RGB')
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img_data = _normalize_img(img)
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x = np.array(img_data)
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x = np.expand_dims(x, axis=0)
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temp = model.predict(x)
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idx = np.argsort(np.squeeze(temp))[::-1]
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top3_value = np.asarray([temp[0][i] for i in idx[0:3]])
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top3_idx = idx[0:3]
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return {LABELS[i]:str(v) for i,v in zip(top3_idx,top3_value)}
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gr.Interface(predict_fn, gr.Image(type='pil'), outputs='label', examples=path,).launch()
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final_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:4e35f8ef986e15413b95424a25002cd2178af5d34fb3e311eaf3c8025651b704
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size 224834232
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label.txt
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 3860 |
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|
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|
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|
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|
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|
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|
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|
| 3867 |
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|
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|
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|
| 3870 |
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|
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|
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|
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|
| 3874 |
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|
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|
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|
| 3877 |
+
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|
| 3878 |
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|
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|
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+
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|
| 3881 |
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|
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|
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+
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|
| 3884 |
+
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|
| 3885 |
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|
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n009050
|
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+
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|
| 3888 |
+
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|
| 3889 |
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n009056
|
| 3890 |
+
n009058
|
| 3891 |
+
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|
| 3892 |
+
n009061
|
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n009062
|
| 3894 |
+
n009063
|
| 3895 |
+
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|
| 3896 |
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n009067
|
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+
n009068
|
| 3898 |
+
n009072
|
| 3899 |
+
n009073
|
| 3900 |
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n009076
|
| 3901 |
+
n009081
|
| 3902 |
+
n009082
|
| 3903 |
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n009083
|
| 3904 |
+
n009085
|
| 3905 |
+
n009089
|
| 3906 |
+
n009094
|
| 3907 |
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|
| 3908 |
+
n009100
|
| 3909 |
+
n009101
|
| 3910 |
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|
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|
| 3912 |
+
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|
| 3913 |
+
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|
| 3914 |
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n009107
|
| 3915 |
+
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|
| 3916 |
+
n009110
|
| 3917 |
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n009111
|
| 3918 |
+
n009113
|
| 3919 |
+
n009115
|
| 3920 |
+
n009118
|
| 3921 |
+
n009120
|
| 3922 |
+
n009121
|
| 3923 |
+
n009126
|
| 3924 |
+
n009127
|
| 3925 |
+
n009129
|
| 3926 |
+
n009131
|
| 3927 |
+
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|
| 3928 |
+
n009137
|
| 3929 |
+
n009139
|
| 3930 |
+
n009140
|
| 3931 |
+
n009143
|
| 3932 |
+
n009145
|
| 3933 |
+
n009148
|
| 3934 |
+
n009149
|
| 3935 |
+
n009152
|
| 3936 |
+
n009154
|
| 3937 |
+
n009156
|
| 3938 |
+
n009157
|
| 3939 |
+
n009159
|
| 3940 |
+
n009160
|
| 3941 |
+
n009165
|
| 3942 |
+
n009166
|
| 3943 |
+
n009171
|
| 3944 |
+
n009172
|
| 3945 |
+
n009173
|
| 3946 |
+
n009174
|
| 3947 |
+
n009176
|
| 3948 |
+
n009177
|
| 3949 |
+
n009180
|
| 3950 |
+
n009181
|
| 3951 |
+
n009184
|
| 3952 |
+
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|
| 3953 |
+
n009189
|
| 3954 |
+
n009190
|
| 3955 |
+
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|
| 3956 |
+
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|
| 3957 |
+
n009196
|
| 3958 |
+
n009198
|
| 3959 |
+
n009200
|
| 3960 |
+
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|
| 3961 |
+
n009203
|
| 3962 |
+
n009204
|
| 3963 |
+
n009208
|
| 3964 |
+
n009210
|
| 3965 |
+
n009211
|
| 3966 |
+
n009212
|
| 3967 |
+
n009214
|
| 3968 |
+
n009216
|
| 3969 |
+
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|
| 3970 |
+
n009222
|
| 3971 |
+
n009223
|
| 3972 |
+
n009224
|
| 3973 |
+
n009228
|
| 3974 |
+
n009229
|
| 3975 |
+
n009230
|
| 3976 |
+
n009233
|
| 3977 |
+
n009234
|
| 3978 |
+
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|
| 3979 |
+
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|
| 3980 |
+
n009241
|
| 3981 |
+
n009243
|
| 3982 |
+
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|
| 3983 |
+
n009247
|
| 3984 |
+
n009249
|
| 3985 |
+
n009250
|
| 3986 |
+
n009251
|
| 3987 |
+
n009253
|
| 3988 |
+
n009254
|
| 3989 |
+
n009255
|
| 3990 |
+
n009259
|
| 3991 |
+
n009262
|
| 3992 |
+
n009265
|
| 3993 |
+
n009266
|
| 3994 |
+
n009268
|
| 3995 |
+
n009269
|
| 3996 |
+
n009270
|
| 3997 |
+
n009271
|
| 3998 |
+
n009273
|
| 3999 |
+
n009274
|
| 4000 |
+
n009276
|
requirements.txt
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Base ----------------------------------------
|
| 2 |
+
matplotlib>=3.2.2
|
| 3 |
+
numpy>=1.21.6
|
| 4 |
+
opencv-python>=4.6.0
|
| 5 |
+
Pillow>=7.1.2
|
| 6 |
+
PyYAML>=5.3.1
|
| 7 |
+
requests>=2.23.0
|
| 8 |
+
scipy>=1.4.1
|
| 9 |
+
gradio>=4.7.1
|
| 10 |
+
tensorflow==2.12.0
|
| 11 |
+
tensorflow-datasets==4.9.2
|
| 12 |
+
scikit-learn>=1.3.2
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
# Plotting ------------------------------------
|
| 16 |
+
pandas>=1.1.4
|
| 17 |
+
seaborn>=0.11.0
|
| 18 |
+
gdown
|
| 19 |
+
|
| 20 |
+
|
| 21 |
+
# Extras --------------------------------------
|
| 22 |
+
psutil # system utilization
|
| 23 |
+
thop>=0.1.1 # FLOPs computation
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