Plant Disease Detection System using Deep Learning Part-2 | Data Preprocessing using Keras API 

Hi Sir, First of all thanks providing in detail code. Question will it work for the classification of plants also.

Sir, I cant find python tensorflow option while creating new file in jupyter. What to do? only python pyodide is present as the kernel

Sir , why it is extracting only 50% dataset

allah razı olsun abi

Sir, even after i extracted valid databset.. Its saying could not find directory "valid", but its working for test and train.. What should I do?

sir i cant find the extension python 3.10 tensorflow iam struggling from 3 hours

sir problem face while loading the dataset in jupyter notebook

sir i want to integrate this model with react frontend instead of streamlite is it possible to do , if yes how can we do this

(base) C:\Users\hp>conda activate tensorflow EnvironmentNameNotFound: Could not find conda environment: tensorflow You can list all discoverable environments with `conda info --envs`. please reply sir

Sir i am doing this project as my college course project for web technology, my question is i am running the codes in google colab so how can i make a website from that?

While running the Train_Plant_Disease it's showing "name tf is not defined". What to do sir

how the jupitor is taking the path of dataset from local?

What versions of TensorFlow, Keras and Python are you using ? I am trying to install Keras and Tensorflow in anaconda but version compatibility make it impossible

Brother... I extracted the data set but it freeze at 50 percent ... And took a long time....can you help plz

Bro im doing in Google colab but for this dataset it takes 5-7 hrs per epoch

Sir, I cant find python tensorflow option in jupyter while creating a new file. Only python pyodide is there. and its showing, No module named 'streamlit while running in pyodide. what to do sir? Can you reply please

Sir I am unable to extract the dataset zip folder which I downloaded from the link you gave

the markdown -- ## Importing Libraries.....is not working

is test folder present in dataset of kaggle?

Python 3.10.12 not install why

Hi can I do it on idle?

It's taking 30 min and more for each epoch how to fast the process

bhai tensorflow or keras ka konsa version use kiya hai???

can i used google colab?

Does this app work in the end

can you make web/app for this model

Hi bro Im also doing the same project So could you send me the source code for this project I want to make app to implement all these

I've been trying to download dataset and unable to download it it just freezes at 50% , is there any solution to it

after i downloaded the dataset from kaggle, im seeing that the folder has only train and test folder, no validation? reply quick plz

Why can't I extract the dataset beyond 50% ?

--------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[4], line 1 ----> 1 import seaborn as sns ModuleNotFoundError: No module named 'seaborn'

please mister can you help me I have this mistake I tried everything I don’t know what to do : raining_set = tf.keras.utils.image_dataset_from_directory( 'train', labels="inferred", label_mode="categorical", class_names=None, color_mode="rgb", batch_size=32, image_size=(128, 128), shuffle=True, seed=None, validation_split=None, subset=None, interpolation="bilinear", follow_links=False, crop_to_aspect_ratio=False, ) --------------------------------------------------------------------------- UnicodeDecodeError Traceback (most recent call last) Cell In[5], line 1 ----> 1 training_set = tf.keras.utils.image_dataset_from_directory( 2 'train', 3 labels="inferred", 4 label_mode="categorical", 5 class_names=None, 6 color_mode="rgb", 7 batch_size=32, 8 image_size=(128, 128), 9 shuffle=True, 10 seed=None, 11 validation_split=None, 12 subset=None, 13 interpolation="bilinear", 14 follow_links=False, 15 crop_to_aspect_ratio=False, 16 ) File C:\ProgramData\anaconda3\Lib\site-packages\keras\src\utils\image_dataset.py:213, in image_dataset_from_directory(directory, labels, label_mode, class_names, color_mode, batch_size, image_size, shuffle, seed, validation_split, subset, interpolation, follow_links, crop_to_aspect_ratio, **kwargs) 211 if seed is None: 212 seed = np.random.randint(1e6) --> 213 image_paths, labels, class_names = dataset_utils.index_directory( 214 directory, 215 labels, 216 formats=ALLOWLIST_FORMATS, 217 class_names=class_names, 218 shuffle=shuffle, 219 seed=seed, 220 follow_links=follow_links, 221 ) 223 if label_mode == "binary" and len(class_names) != 2: 224 raise ValueError( 225 'When passing `label_mode="binary"`, there must be exactly 2 ' 226 f"class_names. Received: class_names={class_names}" 227 ) File C:\ProgramData\anaconda3\Lib\site-packages\keras\src\utils\dataset_utils.py:542, in index_directory(directory, labels, formats, class_names, shuffle, seed, follow_links) 540 else: 541 subdirs = [] --> 542 for subdir in sorted(tf.io.gfile.listdir(directory)): 543 if tf.io.gfile.isdir(tf.io.gfile.join(directory, subdir)): 544 if not subdir.startswith("."): File C:\ProgramData\anaconda3\Lib\site-packages\tensorflow\python\lib\io\file_io.py:767, in list_directory_v2(path) 751 @tf_export("io.gfile.listdir") 752 def list_directory_v2(path): 753 """Returns a list of entries contained within a directory. 754 755 The list is in arbitrary order. It does not contain the special entries "." (...) 765 errors.NotFoundError if directory doesn't exist 766 """ --> 767 if not is_directory(path): 768 raise errors.NotFoundError( 769 node_def=None, 770 op=None, 771 message="Could not find directory {}".format(path)) 773 # Convert each element to string, since the return values of the 774 # vector of string should be interpreted as strings, not bytes. File C:\ProgramData\anaconda3\Lib\site-packages\tensorflow\python\lib\io\file_io.py:689, in is_directory(dirname) 679 @tf_export(v1=["gfile.IsDirectory"]) 680 def is_directory(dirname): 681 """Returns whether the path is a directory or not. 682 683 Args: (...) 687 True, if the path is a directory; False otherwise 688 """ --> 689 return is_directory_v2(dirname) File C:\ProgramData\anaconda3\Lib\site-packages\tensorflow\python\lib\io\file_io.py:703, in is_directory_v2(path) 694 """Returns whether the path is a directory or not. 695 696 Args: (...) 700 True, if the path is a directory; False otherwise 701 """ 702 try: --> 703 return _pywrap_file_io.IsDirectory(compat.path_to_bytes(path)) 704 except errors.OpError: 705 return False UnicodeDecodeError: 'utf-8' codec can't decode byte 0xc9 in position 28: invalid continuation byte