Код: Выделить всё
!pip install tensorflow keras split-folders opencv-python
import tensorflow as tf
from tensorflow import keras
from keras.models import Sequential, load_model
from keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D, Input
from keras.src.legacy.preprocessing.image import ImageDataGenerator
import matplotlib.pyplot as plt
import numpy as np
import splitfolders
import cv2
from keras import layers, models
from keras.applications.resnet50 import preprocess_input
from google.colab import drive
drive.mount('/gdrive')
%cd /gdrive
input_folder = "/content/drive/MyDrive/dataset"
output_folder = "/content/drive/MyDrive/image-recognition"
split_ratio = (0.8, 0.1, 0.1)
splitfolders.ratio(
input_folder,
output= output_folder,
seed = 500, #para que cada ves que de dividan las imgs se haga de la misma forma
ratio = split_ratio,
group_prefix = None
)
Код: Выделить всё
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
/tmp/ipykernel_18929/1078962740.py in ()
1 split_ratio = (0.8, 0.1, 0.1)
2
----> 3 splitfolders.ratio(
4 input_folder,
5 output= output_folder,
3 frames
/usr/lib/python3.12/pathlib.py in stat(self, follow_symlinks)
838 os.stat() does.
839 """
--> 840 return os.stat(self, follow_symlinks=follow_symlinks)
841
842 def lstat(self):
OSError: [Errno 107] Transport endpoint is not connected: '/content/drive/MyDrive/dataset'
Мобильная версия