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Final project for CS50x - Harvard's Introduction to Computer Science
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| # Resources | |
| # https://www.pyimagesearch.com/2015/09/07/blur-detection-with-opencv/ | |
| # https://stackoverflow.com/questions/52505906/find-if-image-is-bright-or-dark | |
| # https://towardsdatascience.com/automatic-image-quality-assessment-in-python-391a6be52c11 | |
| # https://towardsdatascience.com/deep-image-quality-assessment-with-tensorflow-2-0-69ed8c32f195 | |
| """ | |
| This CLI takes in a path, brightness and sharpness thresholds and then | |
| recursively searches images in the provided folder, evaluates the file | |
| and either keeps the ones of acceptable quality or moves them to the trashbin | |
| if they're not good enough. | |
| """ | |
| import argparse | |
| import sys | |
| import textwrap | |
| from os import path, remove | |
| from shutil import copy | |
| import numpy as np | |
| from cv2 import COLOR_BGR2GRAY, CV_64F, Laplacian, cvtColor, imread | |
| from imutils import paths | |
| from send2trash import send2trash | |
| class ImageDeleteCLI(): | |
| def __init__(self): | |
| # instatiating class attributes | |
| self.root_path = None | |
| self.threshold = None | |
| self.upper_brightness = None | |
| self.lower_brightness = None | |
| self.path_as_string = None | |
| self.confirmation = None | |
| self.texts = { | |
| "WELCOME": "Welcome to the IMAGE-DELETE CLI. This CLI takes in a path, brightness and sharpness thresholds, recursively looks for images in the provided folder and deletes the ones that aren't good enough.", | |
| "PROVIDE_PATH": "Please provide the root path of the folder that contains the pictures you want to check: ", | |
| "UPPER_BOUND": "Please enter the upper bound of the brighntess that is still acceptable for you. Note: Max value here is 255. The higher the number, the brighter the pictures will be that make it through the filter.", | |
| "LOWER_BOUND": "Please enter the lower bound of the brighntess that is still acceptable for you. Note: Lowest value here is 0. The lower the number, the darker the pictures will be that make it through the filter.", | |
| "SHARPNESS_THRESHOLD": "Please enter the sharpness threshold. Note: The lower the number, the more tolerant the selection, i.e. blurier pictures will make it through the filter.", | |
| "CONFIRMATION": "You have entered all the required information. Please confirm that you want to proceed. Note: Rejected images will be moved to the trashbin. You can review them and if necessary restore them from there." | |
| } | |
| self.titles = { | |
| "WELCOME": """ | |
| ============================================================ | |
| ╦╔╦╗╔═╗╔═╗╔═╗ ╔╦╗╔═╗╦ ╔═╗╔╦╗╔═╗ ╔═╗╦ ╦ | |
| ║║║║╠═╣║ ╦║╣ ║║║╣ ║ ║╣ ║ ║╣ ║ ║ ║ | |
| ╩╩ ╩╩ ╩╚═╝╚═╝ ═╩╝╚═╝╩═╝╚═╝ ╩ ╚═╝ ╚═╝╩═╝╩ | |
| ============================================================ | |
| Florestan Korp (2020) | |
| [email protected] | |
| ============================================================ | |
| """, | |
| "SELECT_FOLDER": "1/4 SELECT FOLDER", | |
| "SHARPNESS_THRESHOLD": "2/4 ENTER SHARPNESS THRESHOLD", | |
| "LOWER_BOUND": "3/4 ENTER BRIGHTNESS - LOWER BOUND", | |
| "UPPER_BOUND": "4/4 ENTER BRIGHTNESS - UPPER BOUND", | |
| "CONFIRMATION": "CONFIRMATION", | |
| } | |
| self.print_formatted(self.titles["WELCOME"], | |
| self.texts["WELCOME"]) | |
| print("Lets get started...") | |
| def get_input(self): | |
| self.get_path() | |
| self.get_threshold() | |
| self.get_lower_bound() | |
| self.get_upper_bound() | |
| self.get_confirmation() | |
| def get_path(self): | |
| while True: | |
| try: | |
| self.print_formatted(self.titles["SELECT_FOLDER"], | |
| self.texts["PROVIDE_PATH"]) | |
| self.root_path = input() | |
| if not path.isdir(self.root_path): | |
| raise ValueError | |
| except ValueError: | |
| self.print_error("path") | |
| continue | |
| else: | |
| break | |
| def get_threshold(self): | |
| while True: | |
| try: | |
| self.print_formatted(self.titles["SHARPNESS_THRESHOLD"], | |
| self.texts["SHARPNESS_THRESHOLD"]) | |
| self.threshold = int(input("Sharpness threshold: ")) | |
| except ValueError: | |
| self.print_error("number") | |
| continue | |
| else: | |
| break | |
| def get_lower_bound(self): | |
| while True: | |
| try: | |
| self.print_formatted(self.titles["LOWER_BOUND"], | |
| self.texts["LOWER_BOUND"]) | |
| self.lower_brightness = int(input("Brightness - lower bound: ")) | |
| if (self.lower_brightness < 0) or (self.lower_brightness > 255): | |
| raise ValueError | |
| except ValueError: | |
| self.print_error("number") | |
| continue | |
| else: | |
| break | |
| def get_upper_bound(self): | |
| while True: | |
| try: | |
| self.print_formatted(self.titles["UPPER_BOUND"], | |
| self.texts["UPPER_BOUND"]) | |
| self.upper_brightness = int(input("Brightness - upper bound: ")) | |
| if (self.upper_brightness < 0) or (self.upper_brightness > 255): | |
| raise ValueError | |
| except ValueError: | |
| self.print_error("number") | |
| continue | |
| else: | |
| break | |
| def get_confirmation(self): | |
| while True: | |
| try: | |
| self.print_formatted(self.titles["CONFIRMATION"], | |
| self.texts["CONFIRMATION"]) | |
| self.print_summary() | |
| self.confirmation = input("Are you sure you want to proceed (y/n): ") | |
| if (not self.confirmation.isalpha()): | |
| raise ValueError | |
| if ( | |
| not self.confirmation == 'y' and | |
| not self.confirmation == 'n' | |
| ): | |
| raise ValueError | |
| if self.confirmation == 'n': | |
| print("Goodbye!") | |
| sys.exit(1) | |
| except ValueError: | |
| self.print_error("input") | |
| continue | |
| else: | |
| print("\n") | |
| print(" DELETING IMAGES ".center(60, '=')) | |
| break | |
| def print_summary(self): | |
| print(f"Folder:\t\t\t{self.root_path}") | |
| print(f"Sharpness Threshold:\t{self.threshold}") | |
| print(f"Brightness Upper:\t{self.upper_brightness}") | |
| print(f"Brightness Lower:\t{self.lower_brightness}") | |
| print("\n") | |
| def print_formatted(self, title, text=""): | |
| spaced_title = " " + title + " " | |
| print("\n") | |
| print('\033[95m' + spaced_title.center(60, '=')) | |
| print("\n") | |
| lines = textwrap.wrap(text, width=60) | |
| for line in lines: | |
| print(line) | |
| print("\n") | |
| def print_error(self, type): | |
| print("\n") | |
| print("\033[91m" + "ERROR! Invalid {}. Please try again...".format(type)) | |
| print("\n") | |
| def calculate_variance_of_laplacian(self, image): | |
| """ | |
| The function calculates the Laplacian of the source image. It highlights regions of rapid intensity change and is therefore often used for edge detection. | |
| """ | |
| # CV_64F bc we need a floating point data type for negative values. An unsigned 8-bit integer cannot handle negative values. | |
| return Laplacian(image, CV_64F).var() | |
| def is_unsharp(self, gray): | |
| score = self.calculate_variance_of_laplacian(gray) | |
| return score < self.threshold | |
| def is_brightness_bad(self, gray): | |
| # TODO: replace values with values from input | |
| return np.mean(gray) > self.upper_brightness or np.mean(gray) < self.lower_brightness | |
| def deleteImages(self): | |
| # 'list_images' recursively looks through root folder and finds images of all types and returns their paths | |
| for image_path in paths.list_images(self.root_path): | |
| file_name = path.basename(image_path) | |
| img = imread(image_path) | |
| gray = cvtColor(img, COLOR_BGR2GRAY) | |
| if self.is_unsharp(gray) and self.is_brightness_bad(gray): | |
| try: | |
| send2trash(image_path) | |
| print("Image deleted") | |
| except FileNotFoundError as error: | |
| print(error) | |
| sys.exit(1) | |
| print("Done!") | |
| imageDeleteCLI = ImageDeleteCLI() | |
| imageDeleteCLI.get_input() | |
| imageDeleteCLI.deleteImages() |
@andrempeixoto It looks like there is a floating byte hiding on line 49. Please add encoding according to this post:
https://stackoverflow.com/a/43664944/4026317
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Hey Florestan! I'm just starting CS50 and I saw your post in the community's group. Really interesting project. I've already shared with my brother-in-law who is a photographer.
I tried running the script in my pc and got these two error messages and wanted to give you the feedback:
(After having this error I removed the text and it went through)
andre@Linux-Peixoto:~$ python ~/Downloads/image_delete_cli.py
File "/home/andre/Downloads/image_delete_cli.py", line 48
SyntaxError: Non-ASCII character '\xe2' in file /home/andre/Downloads/image_delete_cli.py on line 49, but no encoding declared; see http://python.org/dev/peps/pep-0263/ for details
(I couldn't get through this one)
andre@Linux-Peixoto:~$ python ~/Downloads/image_delete_cli.py
File "/home/andre/Downloads/image_delete_cli.py", line 171
print(f"Folder:\t\t\t{self.root_path}")
^
SyntaxError: invalid syntax
Cheers from Brazil!