Draft: Add new mask dataset

.gitmodules

@@ -0,0 +1,3 @@
+[submodule "MaskTheFace_New"]
+	path = MaskTheFace_New
+	url = https://github.com/aqeelanwar/MaskTheFace.git

MaskTheFaceNew/LICENSE

@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2020 Aqeel Anwar
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

MaskTheFaceNew/_config.yml

@@ -0,0 +1 @@
+theme: jekyll-theme-cayman

MaskTheFaceNew/download_links.txt

@@ -0,0 +1 @@
+mfr2: 1ukk0n_srRqcsotK2MjlFPj7L0sXcR2fH

MaskTheFaceNew/faq.md

@@ -0,0 +1,26 @@
+# MaskTheFace - Convert face dataset to masked dataset
+![cover_photo](images/MaskTheFace.png)
+## Frequently asked question (FAQ)
+
+### 1. dlib ImportError: DLL load failed
+If you are running MaskTheFace on windows, you might face dlib import error. You can solve this error by uninstalling dlib installed through requirements.txt and install from scratch. Use the following commands
+```
+pip uninstall dlib
+git clone https://github.com/davisking/dlib.git
+cd dlib
+python setup.py install
+```
+This will build and install the dlib python library. Make sure you are in virtual environment you plan on using MaskTheFace in when you run the above commands.
+
+### 2. fetch_dataset.py util import error
+fetch_dataset.py is supposed to be run from the parent folder i.e.
+
+```
+# Correct
+cd MaskTheFace
+python utils/fetch_dataset.py
+
+# Wrong
+cd MaskTheFace/utils
+python fetch_dataset.py
+```

MaskTheFaceNew/mask_the_face.py

@@ -0,0 +1,213 @@
+# Author: aqeelanwar
+# Created: 27 April,2020, 10:22 PM
+# Email: aqeel.anwar@gatech.edu
+
+import argparse
+import dlib
+from utils.aux_functions import *
+
+# Command-line input setup
+parser = argparse.ArgumentParser(
+    description="MaskTheFace - Python code to mask faces dataset"
+)
+parser.add_argument(
+    "--path",
+    type=str,
+    default="",
+    help="Path to either the folder containing images or the image itself",
+)
+parser.add_argument(
+    "--mask_type",
+    type=str,
+    default="surgical",
+    choices=["surgical", "N95", "KN95", "cloth",
+             "gas", "inpaint", "random", "all"],
+    help="Type of the mask to be applied. Available options: all, surgical_blue, surgical_green, N95, cloth",
+)
+
+parser.add_argument(
+    "--pattern",
+    type=str,
+    default="",
+    help="Type of the pattern. Available options in masks/textures",
+)
+
+parser.add_argument(
+    "--pattern_weight",
+    type=float,
+    default=0.5,
+    help="Weight of the pattern. Must be between 0 and 1",
+)
+
+parser.add_argument(
+    "--color",
+    type=str,
+    default="#0473e2",
+    help="Hex color value that need to be overlayed to the mask",
+)
+
+parser.add_argument(
+    "--color_weight",
+    type=float,
+    default=0.5,
+    help="Weight of the color intensity. Must be between 0 and 1",
+)
+
+parser.add_argument(
+    "--code",
+    type=str,
+    # default="cloth-masks/textures/check/check_4.jpg, cloth-#e54294, cloth-#ff0000, cloth, cloth-masks/textures/others/heart_1.png, cloth-masks/textures/fruits/pineapple.png, N95, surgical_blue, surgical_green",
+    default="",
+    help="Generate specific formats",
+)
+
+
+parser.add_argument(
+    "--verbose", dest="verbose", action="store_true", help="Turn verbosity on"
+)
+parser.add_argument(
+    "--write_original_image",
+    dest="write_original_image",
+    action="store_true",
+    help="If true, original image is also stored in the masked folder",
+)
+parser.set_defaults(feature=False)
+
+args = parser.parse_args()
+args.write_path = args.path + "_masked"
+
+# Set up dlib face detector and predictor
+args.detector = dlib.get_frontal_face_detector()
+path_to_dlib_model = "dlib_models/shape_predictor_68_face_landmarks.dat"
+if not os.path.exists(path_to_dlib_model):
+    download_dlib_model()
+
+args.predictor = dlib.shape_predictor(path_to_dlib_model)
+
+# Extract data from code
+mask_code = "".join(args.code.split()).split(",")
+args.code_count = np.zeros(len(mask_code))
+args.mask_dict_of_dict = {}
+
+
+for i, entry in enumerate(mask_code):
+    mask_dict = {}
+    mask_color = ""
+    mask_texture = ""
+    mask_type = entry.split("-")[0]
+    if len(entry.split("-")) == 2:
+        mask_variation = entry.split("-")[1]
+        if "#" in mask_variation:
+            mask_color = mask_variation
+        else:
+            mask_texture = mask_variation
+    mask_dict["type"] = mask_type
+    mask_dict["color"] = mask_color
+    mask_dict["texture"] = mask_texture
+    args.mask_dict_of_dict[i] = mask_dict
+
+# Check if path is file or directory or none
+is_directory, is_file, is_other = check_path(args.path)
+display_MaskTheFace()
+
+if is_directory:
+    path, dirs, files = os.walk(args.path).__next__()
+    file_count = len(files)
+    dirs_count = len(dirs)
+    if len(files) > 0:
+        print_orderly("Masking image files", 60)
+
+    # Process files in the directory if any
+    for f in tqdm(files):
+        image_path = path + "/" + f
+
+        write_path = path + "_masked"
+        if not os.path.isdir(write_path):
+            os.makedirs(write_path)
+
+        if is_image(image_path):
+            # Proceed if file is image
+            if args.verbose:
+                str_p = "Processing: " + image_path
+                tqdm.write(str_p)
+
+            split_path = f.rsplit(".")
+            masked_image, mask, mask_binary_array, original_image = mask_image(f,
+                                                                               image_path, args
+                                                                               )
+            for i in range(len(mask)):
+                w_path = (
+                    write_path
+                    + "/"
+                    + split_path[0]
+                    + "_"
+                    + mask[i]
+                    + "."
+                    + split_path[1]
+                )
+                img = masked_image[i]
+                cv2.imwrite(w_path, img)
+
+    print_orderly("Masking image directories", 60)
+
+    # Process directories withing the path provided
+    for d in tqdm(dirs):
+        dir_path = args.path + "/" + d
+        dir_write_path = args.write_path + "/" + d
+        if not os.path.isdir(dir_write_path):
+            os.makedirs(dir_write_path)
+        _, _, files = os.walk(dir_path).__next__()
+
+        # Process each files within subdirectory
+        for f in files:
+            image_path = dir_path + "/" + f
+            if args.verbose:
+                str_p = "Processing: " + image_path
+                tqdm.write(str_p)
+            write_path = dir_write_path
+            if is_image(image_path):
+                # Proceed if file is image
+                split_path = f.rsplit(".")
+                masked_image, mask, mask_binary, original_image = mask_image(f,
+                                                                             image_path, args
+                                                                             )
+                for i in range(len(mask)):
+                    w_path = (
+                        write_path
+                        + "/"
+                        + split_path[0]
+                        + "_"
+                        + mask[i]
+                        + "."
+                        + split_path[1]
+                    )
+                    w_path_original = write_path + "/" + f
+                    img = masked_image[i]
+                    # Write the masked image
+                    cv2.imwrite(w_path, img)
+                    if args.write_original_image:
+                        # Write the original image
+                        cv2.imwrite(w_path_original, original_image)
+
+            if args.verbose:
+                print(args.code_count)
+
+# Process if the path was a file
+elif is_file:
+    print("Masking image file")
+    image_path = args.path
+    write_path = args.path.rsplit(".")[0]
+    if is_image(image_path):
+        # Proceed if file is image
+        # masked_images, mask, mask_binary_array, original_image
+        masked_image, mask, mask_binary_array, original_image = mask_image(
+            f, image_path, args
+        )
+        for i in range(len(mask)):
+            w_path = write_path + "_" + \
+                mask[i] + "." + args.path.rsplit(".")[1]
+            img = masked_image[i]
+            cv2.imwrite(w_path, img)
+else:
+    print("Path is neither a valid file or a valid directory")
+print("Processing Done")