Image Classification
Keras
English
cvt
tensorflow
computer-vision
image-processing
corn-kernel-classification
Instructions to use erukude/cornvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use erukude/cornvit with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://erukude/cornvit") - Notebooks
- Google Colab
- Kaggle
| import os | |
| import random | |
| from tqdm import tqdm | |
| ###################### | |
| # | |
| ###################### | |
| def delete_files(dir1: str, dir2: str) -> bool: | |
| """ | |
| Desc: | |
| This method compares two directories and deletes files if present. | |
| Args: | |
| dir1 (str): Path to the directory 1. | |
| dir2 (str): Path to the directory 2. | |
| Returns: | |
| True, if the deletion was complete, otherwise False. | |
| """ | |
| try: | |
| if not os.path.isdir(dir1) or not os.path.isdir(dir2): | |
| return False | |
| dir1_files = set(os.listdir(dir1)) | |
| dir2_files = set(os.listdir(dir2)) | |
| for idx, file in enumerate(dir1_files): | |
| print(f"Processing file {idx}...") | |
| file_path = os.path.join(dir1, file) | |
| if os.path.isfile(file_path): | |
| if file in dir2_files: | |
| # Delete the file is it is present in dir2 | |
| os.remove(file_path) | |
| return True | |
| except Exception as delete_ex: | |
| print(f"Deletion error: {delete_ex}.") | |
| return False | |
| ###################### | |
| # | |
| ###################### | |
| def delete_n_random_files(dir: str, n: int) -> bool: | |
| """ | |
| Desc: | |
| This method deletes 'n' random files from the provided directory. | |
| Args: | |
| dir (str): Path to the directory. | |
| n (int): The number of random files to be deleted. | |
| Returns: | |
| True, if the deletion was complete, otherwise False. | |
| """ | |
| try: | |
| if not os.path.isdir(dir): | |
| print(f"Directory '{dir}' does not exist.") | |
| return False | |
| # Get all files (not directories) in the specified directory | |
| all_files = [f for f in os.listdir(dir) if os.path.isfile(os.path.join(dir, f))] | |
| if len(all_files) < n: | |
| print(f"Cannot delete '{n}' files, directory only contains '{len(all_files)}' files.") | |
| return False | |
| files_to_delete = random.sample(all_files, n) | |
| for file in tqdm(files_to_delete): | |
| file_path = os.path.join(dir, file) | |
| os.remove(file_path) | |
| return True | |
| except Exception as delete_ex: | |
| print(f"Error occurred while deleting: {str(delete_ex)}.") | |
| return False | |
| ###################### | |
| # | |
| ###################### | |
| def delete_files_name_contains(dir: str, word: str) -> bool: | |
| """ | |
| Desc: | |
| Deletes all files in a directory whose filenames contain a specific word (case-insensitive). | |
| Parameters: | |
| dir (str): The directory to search for files. | |
| word (str): Substring to search for in filenames. | |
| Returns: | |
| bool: True if deletion completes (even if no files matched), False if an error occurred. | |
| """ | |
| try: | |
| if not os.path.isdir(dir): | |
| print(f"Directory '{dir}' does not exist.") | |
| return False | |
| all_files = [f for f in os.listdir(dir) if os.path.isfile(os.path.join(dir, f))] | |
| for file in tqdm(all_files, desc="Deleting files"): | |
| if word.lower() in file.lower(): | |
| file_path = os.path.join(dir, file) | |
| os.remove(file_path) | |
| return True | |
| except Exception as delete_ex: | |
| print(f"Error occurred while deleting: {str(delete_ex)}.") | |
| return False | |
| ###################### | |
| # | |
| ###################### | |
| if __name__ == "__main__": | |
| dir1 = "" | |
| dir2 = "" | |
| delete_files(dir1, dir2) |