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Default is `./result.png`.') parser.add_argument('--type', type=str, default='motion', help='Blur type of `motion`, `lens`, or `gaussian`. Default is `motion`.') @@ -40,15 +44,31 @@ def main(): print('----- No type has been selected. Please specific `motion`, `lens`, or `gaussian`.') else: if args.type == 'motion': - result = motion_blur(img, size=args.motion_blur_size, angle=args.motion_blur_angle) + def blur_job(img, size=args.motion_blur_size): + return motion_blur(img, size=size, angle=args.motion_blur_angle) elif args.type == 'lens': - result = lens_blur(img, radius=args.lens_radius, components=args.lens_components, exposure_gamma=args.lens_exposure_gamma) + def blur_job(img, radius=args.lens_radius): + return lens_blur(img, radius=radius, components=args.lens_components, exposure_gamma=args.lens_exposure_gamma) elif args.type == 'gaussian': - result = gaussian_blur(img, args.gaussian_kernel) - - cv2.imwrite(args.output, result*255) + def blur_job(img, kernel=args.gaussian_kernel): + return gaussian_blur(img, kernel) + + if args.type in ['motion', 'lens', 'gaussian']: + depth_map_path = args.input_depth_map + if depth_map_path is None: + result = blur_job(img) + else: + result = np.zeros_like(img) + # need check path exists + depth_map = cv2.imread(depth_map_path) + mask_blur_amounts = blur_with_depth_layers(depth_map) + for mask, blur_amount in mask_blur_amounts: + slice = blur_job(img, blur_amount) + layer = cv2.bitwise_and(slice, slice, mask = mask[:,:,0]) + result = cv2.add(result, layer, dtype=0) + cv2.imwrite(args.output, result) else: print('----- Only support common types of image `.jpg` and `.png`.') diff --git a/src/blurgenerator/depth_mapping.py b/src/blurgenerator/depth_mapping.py new file mode 100644 index 0000000..856d3cd --- /dev/null +++ b/src/blurgenerator/depth_mapping.py @@ -0,0 +1,26 @@ + +import numpy as np +import cv2 + +def map_range(value, inMin, inMax, outMin, outMax): + return outMin + (((value - inMin) / (inMax - inMin)) * (outMax - outMin)) + +def blur_with_depth_layers(depth, num_layers=2, min_blur=1, max_blur=100): + min_depth = np.min(np.unique(depth)) + max_depth = np.max(np.unique(depth)) + step = (max_depth - min_depth) // num_layers + layers = np.array(range(min_depth, max_depth, step)) + mask_blur_amounts = [] + for value in layers: + dm = cv2.cvtColor(depth, cv2.COLOR_BGR2GRAY) + m = np.zeros(dm.shape) + m[dm > value] = 255 + m[dm > (value + step)] = 0 + l_mask = depth.copy() + l_mask[:,:,0] = m[:,:] + l_mask[:,:,1] = m[:,:] + l_mask[:,:,2] = m[:,:] + _, mask = cv2.threshold(l_mask, 100, 255, cv2.THRESH_BINARY) + blur_amount = int(map_range(value, 0, 255, min_blur, max_blur)) + mask_blur_amounts.append((mask, blur_amount)) + return mask_blur_amounts From 625ebda319f30e3d3893b0dc49d24a5ab2e5a7a0 Mon Sep 17 00:00:00 2001 From: Nat Lee Date: Wed, 1 Feb 2023 17:42:16 +0800 Subject: [PATCH 05/14] [update] rm file & add it into cli --- src/blurgenerator/__init__.py | 2 - src/blurgenerator/cli.py | 120 ++++++++++++++++++----------- src/blurgenerator/depth_mapping.py | 26 ------- 3 files changed, 75 insertions(+), 73 deletions(-) delete mode 100644 src/blurgenerator/depth_mapping.py diff --git a/src/blurgenerator/__init__.py b/src/blurgenerator/__init__.py index 07a4ce9..137dce6 100644 --- a/src/blurgenerator/__init__.py +++ b/src/blurgenerator/__init__.py @@ -7,6 +7,4 @@ from .lens_blur import lens_blur from .gaussian_blur import gaussian_blur -from .depth_mapping import blur_with_depth_layers - from .cli import main diff --git a/src/blurgenerator/cli.py b/src/blurgenerator/cli.py index c321d31..e2d1679 100644 --- a/src/blurgenerator/cli.py +++ b/src/blurgenerator/cli.py @@ -8,7 +8,6 @@ import numpy as np from blurgenerator import motion_blur, lens_blur, gaussian_blur -from blurgenerator.depth_mapping import blur_with_depth_layers def main(): @@ -32,48 +31,79 @@ def main(): args = parser.parse_args() - if args.input: - img_path = Path(args.input) - if img_path.is_file(): - if img_path.suffix in ['.jpg', '.jpeg', '.png']: - - img = cv2.imread(img_path.absolute().as_posix()) - img = img / 255. - - if args.type not in ['motion', 'lens', 'gaussian']: - print('----- No type has been selected. Please specific `motion`, `lens`, or `gaussian`.') - else: - if args.type == 'motion': - def blur_job(img, size=args.motion_blur_size): - return motion_blur(img, size=size, angle=args.motion_blur_angle) - - elif args.type == 'lens': - def blur_job(img, radius=args.lens_radius): - return lens_blur(img, radius=radius, components=args.lens_components, exposure_gamma=args.lens_exposure_gamma) - - elif args.type == 'gaussian': - def blur_job(img, kernel=args.gaussian_kernel): - return gaussian_blur(img, kernel) - - if args.type in ['motion', 'lens', 'gaussian']: - depth_map_path = args.input_depth_map - if depth_map_path is None: - result = blur_job(img) - else: - result = np.zeros_like(img) - # need check path exists - depth_map = cv2.imread(depth_map_path) - mask_blur_amounts = blur_with_depth_layers(depth_map) - for mask, blur_amount in mask_blur_amounts: - slice = blur_job(img, blur_amount) - layer = cv2.bitwise_and(slice, slice, mask = mask[:,:,0]) - result = cv2.add(result, layer, dtype=0) - cv2.imwrite(args.output, result) - - else: - print('----- Only support common types of image `.jpg` and `.png`.') - - else: - print('----- File not exists!') - else: + if not args.input: print('----- Please specific image for input.') + return + img_path = Path(args.input) + + if not img_path.is_file(): + print('----- `img_path` is not a file!') + return + if img_path.suffix not in ['.jpg', '.jpeg', '.png']: + print('----- Only support common types of image `.jpg` and `.png`.') + return + + img = cv2.imread(img_path.absolute().as_posix()) + img = img / 255. + + if args.type not in ['motion', 'lens', 'gaussian']: + print('----- No type has been selected. Please specific `motion`, `lens`, or `gaussian`.') + return + + if args.type == 'motion': + def blur_job(img, size=args.motion_blur_size): + return motion_blur(img, size=size, angle=args.motion_blur_angle) + + if args.type == 'lens': + def blur_job(img, radius=args.lens_radius): + return lens_blur(img, radius=radius, components=args.lens_components, exposure_gamma=args.lens_exposure_gamma) + + if args.type == 'gaussian': + def blur_job(img, kernel=args.gaussian_kernel): + return gaussian_blur(img, kernel) + + depth_map_path = args.input_depth_map + if depth_map_path is None: + result = blur_job(img) + cv2.imwrite(args.output, result*255) + return + + depth_map_path = Path(depth_map_path) + if not img_path.is_file(): + print('----- `input_depth_map` is not a file!') + return + if depth_map_path.suffix not in ['.jpg', '.jpeg', '.png']: + print('----- Only support common types of image `.jpg` and `.png`.') + return + + depth_map = cv2.imread(depth_map_path.absolute().as_posix()) + def map_range(value, inMin, inMax, outMin, outMax): + return outMin + (((value - inMin) / (inMax - inMin)) * (outMax - outMin)) + + def blur_with_depth(img, depth, num_layers=10, min_blur=1, max_blur=100): + min_depth = np.min(np.unique(depth)) + max_depth = np.max(np.unique(depth)) + step = (max_depth - min_depth) // num_layers + layers = np.array(range(min_depth, max_depth, step)) + out = np.zeros(img.shape) + + for value in layers: + dm = cv2.cvtColor(depth, cv2.COLOR_BGR2GRAY) + m = np.zeros(dm.shape) + m[dm > value] = 255 + m[dm > (value + step)] = 0 + l_mask = depth.copy() + l_mask[:,:,0] = m[:,:] + l_mask[:,:,1] = m[:,:] + l_mask[:,:,2] = m[:,:] + blur_amount = int(map_range(value, 0, 255, min_blur, max_blur)) + slice = blur_job(img, blur_amount) + _, mask = cv2.threshold(l_mask, 100, 255, cv2.THRESH_BINARY) + layer = cv2.bitwise_and(slice, slice, mask = mask[:,:,0]) + out = cv2.add(out, layer, dtype=0) + return out + + result = blur_with_depth(img, depth_map, num_layers=5, min_blur=1, max_blur=50) + cv2.imwrite(args.output, result) + + return diff --git a/src/blurgenerator/depth_mapping.py b/src/blurgenerator/depth_mapping.py deleted file mode 100644 index 856d3cd..0000000 --- a/src/blurgenerator/depth_mapping.py +++ /dev/null @@ -1,26 +0,0 @@ - -import numpy as np -import cv2 - -def map_range(value, inMin, inMax, outMin, outMax): - return outMin + (((value - inMin) / (inMax - inMin)) * (outMax - outMin)) - -def blur_with_depth_layers(depth, num_layers=2, min_blur=1, max_blur=100): - min_depth = np.min(np.unique(depth)) - max_depth = np.max(np.unique(depth)) - step = (max_depth - min_depth) // num_layers - layers = np.array(range(min_depth, max_depth, step)) - mask_blur_amounts = [] - for value in layers: - dm = cv2.cvtColor(depth, cv2.COLOR_BGR2GRAY) - m = np.zeros(dm.shape) - m[dm > value] = 255 - m[dm > (value + step)] = 0 - l_mask = depth.copy() - l_mask[:,:,0] = m[:,:] - l_mask[:,:,1] = m[:,:] - l_mask[:,:,2] = m[:,:] - _, mask = cv2.threshold(l_mask, 100, 255, cv2.THRESH_BINARY) - blur_amount = int(map_range(value, 0, 255, min_blur, max_blur)) - mask_blur_amounts.append((mask, blur_amount)) - return mask_blur_amounts From b70a5646b90c399845db1a8be762ddfce8f9271e Mon Sep 17 00:00:00 2001 From: Nat Lee Date: Wed, 1 Feb 2023 17:43:49 +0800 Subject: [PATCH 06/14] [update] add temp --- src/blurgenerator/cli.py | 50 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) diff --git a/src/blurgenerator/cli.py b/src/blurgenerator/cli.py index e2d1679..99b0ecf 100644 --- a/src/blurgenerator/cli.py +++ b/src/blurgenerator/cli.py @@ -107,3 +107,53 @@ def blur_with_depth(img, depth, num_layers=10, min_blur=1, max_blur=100): cv2.imwrite(args.output, result) return + +""" + +import numpy as np +import cv2 + +from blurgenerator import lens_blur, gaussian_blur + +def map_range(value, inMin, inMax, outMin, outMax): + return outMin + (((value - inMin) / (inMax - inMin)) * (outMax - outMin)) + +def blur_with_depth(img, depth, num_layers=10, min_blur=1, max_blur=100): + min_depth = np.min(np.unique(depth)) + max_depth = np.max(np.unique(depth)) + step = (max_depth - min_depth) // num_layers + layers = np.array(range(min_depth, max_depth, step)) + out = np.zeros(img.shape) + + for idx, value in enumerate(layers): + dm = cv2.cvtColor(depth, cv2.COLOR_BGR2GRAY) + m = np.zeros(dm.shape) + m[dm > value] = 255 + m[dm > (value + step)] = 0 + + l_mask = depth.copy() + l_mask[:,:,0] = m[:,:] + l_mask[:,:,1] = m[:,:] + l_mask[:,:,2] = m[:,:] + + blur_amount = int(map_range(value, 0, 255, min_blur, max_blur)) + #slice = gaussian_blur(img, blur_amount) + slice = lens_blur(img/255., radius=blur_amount) + + _, mask = cv2.threshold(l_mask, 100, 255, cv2.THRESH_BINARY) + mask_inv = cv2.bitwise_not(mask) + layer = cv2.bitwise_and(slice, slice, mask = mask[:,:,0]) + out = cv2.add(out, layer, dtype=0) + + h,w,c = out.shape + ha = h*2 // 3 + wa = w*2 // 3 + out = cv2.resize(out, (wa,ha)) + return out + +img = cv2.imread("input.jpg") +depth = cv2.imread("depth.png") +output = blur_with_depth(img, depth, num_layers=3, min_blur=1, max_blur=50) +cv2.imwrite('output.jpg', output) + +""" \ No newline at end of file From 929fa3b562866d30d106ce7770ec30476a19caee Mon Sep 17 00:00:00 2001 From: Nat Lee Date: Wed, 1 Feb 2023 17:48:15 +0800 Subject: [PATCH 07/14] [update] add dev script --- MANIFEST.in | 1 + reinstall.sh | 2 ++ 2 files changed, 3 insertions(+) create mode 100644 reinstall.sh diff --git a/MANIFEST.in b/MANIFEST.in index dcd7e5e..7e9cea1 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,5 +1,6 @@ include pyproject.toml include *.md +include *.sh include LICENSE recursive-include tests test*.py recursive-include doc *.png \ No newline at end of file diff --git a/reinstall.sh b/reinstall.sh new file mode 100644 index 0000000..9b193db --- /dev/null +++ b/reinstall.sh @@ -0,0 +1,2 @@ +#!/bin/bash +python setup.py clean --all install clean --all \ No newline at end of file From 22df2bdedbee5727508e9a701ebb13c32ae550c0 Mon Sep 17 00:00:00 2001 From: Nat Lee Date: Wed, 1 Feb 2023 17:54:58 +0800 Subject: [PATCH 08/14] [update] update para --- src/blurgenerator/cli.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/blurgenerator/cli.py b/src/blurgenerator/cli.py index 99b0ecf..cacd881 100644 --- a/src/blurgenerator/cli.py +++ b/src/blurgenerator/cli.py @@ -103,7 +103,7 @@ def blur_with_depth(img, depth, num_layers=10, min_blur=1, max_blur=100): out = cv2.add(out, layer, dtype=0) return out - result = blur_with_depth(img, depth_map, num_layers=5, min_blur=1, max_blur=50) + result = blur_with_depth(img, depth_map, num_layers=10, min_blur=1, max_blur=50) cv2.imwrite(args.output, result) return From 5b8c822e1a64e0398aaf2ff6cd9393cc7ab78245 Mon Sep 17 00:00:00 2001 From: NatLee Date: Wed, 1 Feb 2023 19:24:48 +0800 Subject: [PATCH 09/14] [update] add `bat` tool --- MANIFEST.in | 1 + reinstall.bat | 1 + 2 files changed, 2 insertions(+) create mode 100644 reinstall.bat diff --git a/MANIFEST.in b/MANIFEST.in index 7e9cea1..b829f29 100644 --- a/MANIFEST.in +++ b/MANIFEST.in @@ -1,6 +1,7 @@ include pyproject.toml include *.md include *.sh +include *.bat include LICENSE recursive-include tests test*.py recursive-include doc *.png \ No newline at end of file diff --git a/reinstall.bat b/reinstall.bat new file mode 100644 index 0000000..265c0d8 --- /dev/null +++ b/reinstall.bat @@ -0,0 +1 @@ +python setup.py clean --all install clean --all \ No newline at end of file From c3f65f4d178e551992d12c282fec2ba25831bfa1 Mon Sep 17 00:00:00 2001 From: NatLee Date: Wed, 1 Feb 2023 20:34:29 +0800 Subject: [PATCH 10/14] [update] add assets --- README.md | 118 ++++++++++++++++++++++++++++++---- doc/depth-gaussian-output.png | Bin 0 -> 5161638 bytes doc/depth-lens-output.png | Bin 0 -> 4108272 bytes doc/depth-motion-output.png | Bin 0 -> 5212303 bytes doc/depth-output.jpg | Bin 445400 -> 0 bytes 5 files changed, 104 insertions(+), 14 deletions(-) create mode 100644 doc/depth-gaussian-output.png create mode 100644 doc/depth-lens-output.png create mode 100644 doc/depth-motion-output.png delete mode 100644 doc/depth-output.jpg diff --git a/README.md b/README.md index ac9b1aa..0843f13 100644 --- a/README.md +++ b/README.md @@ -19,16 +19,12 @@ Check it on [Pypi](https://pypi.org/project/BlurGenerator/). ## Usage ```bash -usage: blurgenerator [-h] [--input INPUT] [--output OUTPUT] [--type TYPE] [--motion_blur_size MOTION_BLUR_SIZE] [--motion_blur_angle MOTION_BLUR_ANGLE] - [--lens_radius LENS_RADIUS] [--lens_components LENS_COMPONENTS] [--lens_exposure_gamma LENS_EXPOSURE_GAMMA] - [--gaussian_kernel GAUSSIAN_KERNEL] - -optional arguments: - -h, --help show this help message and exit - --input INPUT Specific path of image as `input`. - --output OUTPUT Specific path for `output`. Default is `./result.png`. - --type TYPE Blur type of `motion`, `lens`, or `gaussian`. Default is `motion`. - --motion_blur_size MOTION_BLUR_SIZE +blurgenerator --help +``` + +```bash +usage: blurgenerator [-h] [--input INPUT] [--input_depth_map INPUT_DEPTH_MAP] [--output OUTPUT] [--type TYPE] [--motion_blur_size MOTION_BLUR_SIZE] [--motion_blur_angle MOTION_BLUR_ANGLE] [--lens_radius LENS_RADIUS] [--lens_components LENS_COMPONENTS] + [--lens_exposure_gamma LENS_EXPOSURE_GAMMA] [--gaussian_kernel GAUSSIAN_KERNEL] [--depth_num_layers DEPTH_NUM_LAYERS] [--depth_min_blur DEPTH_MIN_BLUR] [--depth_max_blur DEPTH_MAX_BLUR] Size for motion blur. Default is 100. --motion_blur_angle MOTION_BLUR_ANGLE Angle for motion blur. Default is 30. @@ -40,13 +36,23 @@ optional arguments: Exposure gamma for lens blur. Default is 2. --gaussian_kernel GAUSSIAN_KERNEL Kernel for gaussian. Default is 100. + --depth_num_layers DEPTH_NUM_LAYERS + Layer for depth blur. Default is 3. + --depth_min_blur DEPTH_MIN_BLUR + Min. blur for depth blur. Default is 1. + --depth_max_blur DEPTH_MAX_BLUR + Max. blur for depth blur. Default is 100. ``` ## Example and Result +### Common use + - Original image -![original image](https://github.com/NatLee/Blur-Generator/blob/main/doc/test.png?raw=true) +![original image](./doc/test.png) + +#### Usage - Motion blur @@ -57,9 +63,10 @@ import cv2 from blurgenerator import motion_blur img = cv2.imread('test.png') result = motion_blur(img, size=100, angle=30) +cv2.imwrite('./output.png', result) ``` -![motion blur image](https://github.com/NatLee/Blur-Generator/blob/main/doc/motion.png?raw=true) +![motion blur image](./doc/motion.png) - Lens blur @@ -70,9 +77,10 @@ import cv2 from blurgenerator import lens_blur img = cv2.imread('test.png') result = lens_blur(img, radius=5, components=4, exposure_gamma=2) +cv2.imwrite('./output.png', result) ``` -![lens blur image](https://github.com/NatLee/Blur-Generator/blob/main/doc/lens.png?raw=true) +![lens blur image](./doc/lens.png) - Gaussian blur @@ -83,6 +91,88 @@ import cv2 from blurgenerator import gaussian_blur img = cv2.imread('test.png') result = gaussian_blur(img, 100) +cv2.imwrite('./output.png', result) +``` + +![gaussian blur image](./doc/gaussian.png) + +### With depth map + +Feature from this [issue](https://github.com/NatLee/Blur-Generator/issues/1). + +- Original image + +![photo](./doc/depth-test.jpg) + +- Depth map + +![depth map](./doc/depth-map-test.png) + +#### Usage + +- Motion blur with depth map + +`blurgenerator --input .\doc\depth-test.jpg --type motion --input_depth_map .\doc\depth-map-test.png --depth_num_layers 5 --depth_min_blur 1 --depth_max_blur 50 --output .\doc\depth-motion-output.png` + +```python +import cv2 +from blurgenerator import motion_blur_with_depth_map +img = cv2.imread('test.jpg') +depth_img = cv2.imread('test-depth.png') +result = motion_blur_with_depth_map( + img, + depth_map=depth_img, + angle=30, + num_layers=10, + min_blur=1, + max_blur=50 +) +cv2.imwrite('./output.png', result) +``` + +![depth motion blur image](./doc/depth-motion-output.png) + +- Lens blur with depth map + +`blurgenerator --input .\doc\depth-test.jpg --type lens --input_depth_map .\doc\depth-map-test.png --depth_num_layers 3 --depth_min_blur 1 --depth_max_blur 50 --output .\doc\depth-lens-output.png` + +```python +import cv2 +from blurgenerator import lens_blur_with_depth_map +img = cv2.imread('test.jpg') +depth_img = cv2.imread('test-depth.png') +result = lens_blur_with_depth_map( + img, + depth_map=depth_img, + components=5, + exposure_gamma=5, + num_layers=10, + min_blur=1, + max_blur=50 +) +cv2.imwrite('./output.png', result) +``` + +![depth lens blur image](./doc/depth-lens-output.png) + +- Gaussian blur with depth map + +`blurgenerator --input .\doc\depth-test.jpg --type gaussian --input_depth_map .\doc\depth-map-test.png --depth_num_layers 3 --depth_min_blur 1 --depth_max_blur 50 --output .\doc\depth-gaussian-output.png` + +```python +import cv2 +from blurgenerator import gaussian_blur_with_depth_map +img = cv2.imread('test.jpg') +depth_img = cv2.imread('test-depth.png') +result = gaussian_blur_with_depth_map( + img, + depth_map=depth_img, + sigma=5, + num_layers=10, + min_blur=1, + max_blur=50 +) +cv2.imwrite('./output.png', result) ``` -![gaussian blur image](https://github.com/NatLee/Blur-Generator/blob/main/doc/gaussian.png?raw=true) +![depth gaussian blur image](./doc/depth-gaussian-output.png) diff --git a/doc/depth-gaussian-output.png b/doc/depth-gaussian-output.png new file mode 100644 index 0000000000000000000000000000000000000000..4ab27641af0dc34fdf4c8b7bf27170e5006a5aee GIT binary patch literal 5161638 zcmaI84OkOr`aNu7q7g(hk`P@`!>ABafmK^Tr7*}u>yILdL~Hrn1+`Wo7K#cj3lXaw zg7Q&RR1{;Z5L9$=ML?+3Hj#*}AFCiLq79*<)*mMJ16qXl4Bh?z-|Kp>>uvdn1ZJL@ zd7g8h``qV#@|7!=xj6mBY0Q{0F3aDcSB@DYz{_!C1YCSe{XKNim@(2Z%jqz6Cg;n` z*Yf{|CD!;=$D(OuT)lv=Z!gp*a( zERzOi>B@&Fs={_eJ2YD=%~57Eky1ZG*?ekXPVcD!VW?|yfhF=1(;%*=HRq~R96K1_ z3uE?0^3>ENhS6F{2|w-Ix|b8g>Jam4`+_X*D85J)<{r;5QS!&TbWWDf8#0dV(K*S; 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