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Merge pull request #1 from jeena/edit

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Crop the picture and add metadata
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Jeena 2021-09-08 10:41:24 +09:00 • committed by GitHub
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4 changed files with 304 additions and 24 deletions
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4
Pipfile
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@ -7,6 +7,10 @@ name = "pypi"
google-auth-oauthlib = "*" google-auth-oauthlib = "*"
psycopg2-binary = "*" psycopg2-binary = "*"
google-api-python-client = "*" google-api-python-client = "*"
opencv-python = "*"
numpy = "*"
exif = "*"
geopy = "*"
[dev-packages] [dev-packages]

135
Pipfile.lock generated
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@ -1,7 +1,7 @@
{ {
"_meta": { "_meta": {
"hash": { "hash": {
"sha256": "b35e976d9f0bbffebb2b0df18c4fb553d9ccf4cb3721df71dc60b46f44de7726" "sha256": "bc276a09e3e32bf9f2527093f719e6b16d5fe0db5f59e428c282089bd8e83f86"
}, },
"pipfile-spec": 6, "pipfile-spec": 6,
"requires": { "requires": {
@ -39,30 +39,53 @@
"markers": "python_version >= '3'", "markers": "python_version >= '3'",
"version": "==2.0.4" "version": "==2.0.4"
}, },
"google-api-core": { "exif": {
"hashes": [ "hashes": [
"sha256:428805de17b48ca1af2fdb5bbfc2334e1bbcb0ea4a16506fa1337fb29c8f37c8", "sha256:7a93ced12bca131b04c7e92c13a16a40685b9eb83414f9ed479d38df1c686633",
"sha256:bd9eb0709f4e10dd6fddb32fd0788a190b434426c258be6e00ef40da136d768d" "sha256:d9bae4fd7737a879402dd6e5d1675e230185e1221c3df62238faf2c8f08756d4"
],
"markers": "python_version >= '3.6'",
"version": "==2.0.0"
},
"google-api-python-client": {
"hashes": [
"sha256:20bc8f711883f9f8f96d96bc44b40ad0e2b0a9ef7df53e7c738948584fddd1c2",
"sha256:26402b51b21480e5f2de2650f4dc41d19db031ce28d26047f30dad0803fbf27d"
], ],
"index": "pypi", "index": "pypi",
"version": "==2.17.0" "version": "==1.3.2"
}, },
"google-auth": { "geographiclib": {
"hashes": [ "hashes": [
"sha256:c012c8be7c442c8309ca8fa0876fef33f5fd977c467be1e1c1c2f721e8ebd73c", "sha256:8f441c527b0b8a26cd96c965565ff0513d1e4d9952b704bf449409e5015c77b7",
"sha256:ea1af050b3e06eb73e4470f704d23007307bc0e87c13e015f6b90460f1407bd3" "sha256:ac400d672b8954b0306bca890b088bb8ba2a757dc8133cca0b878f34b33b2740"
],
"version": "==1.52"
},
"geopy": {
"hashes": [
"sha256:58b7edf526b8c32e33126570b5f4fcdfaa29d4416506064777ae8d84cd103fdd",
"sha256:8f1f949082b964385de61fcc3a667a6a9a6e242beb1ae8972449f164b2ba0e89"
],
"index": "pypi",
"version": "==2.2.0"
},
"google-api-core": {
"hashes": [
"sha256:b8ad41f72a70dd709dd13a08478936172aecf5f2d34a18ab378efa6d2d6ab575",
"sha256:d6760f21b3a064a8397916b33be7383fc169d1a3c3d7fae7b47eb92bba7892b8"
], ],
"markers": "python_version >= '3.6'", "markers": "python_version >= '3.6'",
"version": "==2.0.1" "version": "==2.0.1"
}, },
"google-api-python-client": {
"hashes": [
"sha256:1f2657d1be246bc3d4bd1f0642f498653ce5fba507e6a05bbc405ed65bf10377",
"sha256:c89b345615188fbd525f52d59013156ad3bfd1023af27041f2dec3d7877ba112"
],
"index": "pypi",
"version": "==2.19.1"
},
"google-auth": {
"hashes": [
"sha256:104475dc4d57bbae49017aea16fffbb763204fa2d6a70f1f3cc79962c1a383a4",
"sha256:cde472372e030e1e0bc64dac00fb53e6c095d7ab641f4281e2c995e85e205d8b"
],
"markers": "python_version >= '3.6'",
"version": "==2.0.2"
},
"google-auth-httplib2": { "google-auth-httplib2": {
"hashes": [ "hashes": [
"sha256:31e49c36c6b5643b57e82617cb3e021e3e1d2df9da63af67252c02fa9c1f4a10", "sha256:31e49c36c6b5643b57e82617cb3e021e3e1d2df9da63af67252c02fa9c1f4a10",
@ -72,11 +95,11 @@
}, },
"google-auth-oauthlib": { "google-auth-oauthlib": {
"hashes": [ "hashes": [
"sha256:4ab58e6c3dc6ccf112f921fcced40e5426fba266768986ea502228488276eaba", "sha256:3f2a6e802eebbb6fb736a370fbf3b055edcb6b52878bf2f26330b5e041316c73",
"sha256:b5a1ce7c617d247ccb2dfbba9d4bfc734b41096803d854a2c52592ae80150a67" "sha256:a90a072f6993f2c327067bf65270046384cda5a8ecb20b94ea9a687f1f233a7a"
], ],
"index": "pypi", "index": "pypi",
"version": "==0.4.5" "version": "==0.4.6"
}, },
"googleapis-common-protos": { "googleapis-common-protos": {
"hashes": [ "hashes": [
@ -101,6 +124,42 @@
"markers": "python_version >= '3'", "markers": "python_version >= '3'",
"version": "==3.2" "version": "==3.2"
}, },
"numpy": {
"hashes": [
"sha256:09858463db6dd9f78b2a1a05c93f3b33d4f65975771e90d2cf7aadb7c2f66edf",
"sha256:209666ce9d4a817e8a4597cd475b71b4878a85fa4b8db41d79fdb4fdee01dde2",
"sha256:298156f4d3d46815eaf0fcf0a03f9625fc7631692bd1ad851517ab93c3168fc6",
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"sha256:d96a6a7d74af56feb11e9a443150216578ea07b7450f7c05df40eec90af7f4a7",
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"sha256:e167b9805de54367dcb2043519382be541117503ce99e3291cc9b41ca0a83557",
"sha256:e42029e184008a5fd3d819323345e25e2337b0ac7f5c135b7623308530209d57",
"sha256:f545c082eeb09ae678dd451a1b1dbf17babd8a0d7adea02897a76e639afca310",
"sha256:fde50062d67d805bc96f1a9ecc0d37bfc2a8f02b937d2c50824d186aa91f2419"
],
"index": "pypi",
"version": "==1.21.2"
},
"oauthlib": { "oauthlib": {
"hashes": [ "hashes": [
"sha256:42bf6354c2ed8c6acb54d971fce6f88193d97297e18602a3a886603f9d7730cc", "sha256:42bf6354c2ed8c6acb54d971fce6f88193d97297e18602a3a886603f9d7730cc",
@ -109,6 +168,44 @@
"markers": "python_version >= '3.6'", "markers": "python_version >= '3.6'",
"version": "==3.1.1" "version": "==3.1.1"
}, },
"opencv-python": {
"hashes": [
"sha256:05c5139d620e8d02f7ce0921796d55736fa19fa15e2ec00a388db2eb1ae1e9a1",
"sha256:085232718f28bddd265da480874c37db5c7354cb08f23f4a68a8639b16276a89",
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"plum-py": {
"hashes": [
"sha256:6d0bdf7aefa10e519d2902827dee2f96a554e55f04064c978197714b26ca1ab9",
"sha256:b02077cda2403d9dac65db38dba072a9db751129cc7b6d569837bf7a2276fd39"
],
"markers": "python_version >= '3.6'",
"version": "==0.7.0"
},
"protobuf": { "protobuf": {
"hashes": [ "hashes": [
"sha256:13ee7be3c2d9a5d2b42a1030976f760f28755fcf5863c55b1460fd205e6cd637", "sha256:13ee7be3c2d9a5d2b42a1030976f760f28755fcf5863c55b1460fd205e6cd637",

169
edit.py Executable file
View file

@ -0,0 +1,169 @@
#!/usr/bin/env python3
import cv2
import sys
import numpy as np
import exif
from geopy.geocoders import Nominatim
from datetime import datetime
def wait_with_check_closing(win_name):
"""
https://stackoverflow.com/questions/35003476/"
"opencv-python-how-to-detect-if-a-window-is-closed/37881722
"""
while True:
keyCode = cv2.waitKey(50)
if keyCode != -1:
break
win_prop = cv2.getWindowProperty(win_name, cv2.WND_PROP_VISIBLE)
if win_prop <= 0:
break
def dms_coordinates_to_dd_coordinates(coordinates, coordinates_ref):
decimal_degrees = coordinates[0] + \
coordinates[1] / 60 + \
coordinates[2] / 3600
if coordinates_ref == "S" or coordinates_ref == "W":
decimal_degrees = -decimal_degrees
return decimal_degrees
class Image:
def __init__(self, path, w=1920, h=1080):
self.w = w
self.h = h
self.path = path
self.image = cv2.imread(self.path)
self.geolocator = Nominatim(user_agent="jeena-synology-pictures")
def get_exif(self):
with open(self.path, 'rb') as img:
e = exif.Image(img)
if e and e.has_exif:
return e
else:
return None
def get_place_name(self, e):
lat = str(dms_coordinates_to_dd_coordinates(e['gps_latitude'], e['gps_latitude_ref']))
lng = str(dms_coordinates_to_dd_coordinates(e['gps_longitude'], e['gps_longitude_ref']))
if lat and lng:
location = self.geolocator.reverse(lat + ", " + lng, language="en")
city = location.raw.get('address', {}).get('city', "")
country = location.raw.get('address', {}).get('country', "")
name = ", ".join((city, country))
return name
else:
return ""
def crop(self):
oh, ow, z = self.image.shape
w = self.w
h = self.h
vertical = False
if oh/ow < 1:
# horizontal
if ow <= self.w:
w = ow
h = oh
else:
# need resizing to smaller
if self.w/ow < self.h/oh:
# hight priority
w = self.h/oh * ow
h = self.h
else:
w = self.w
h = self.w/ow * oh
else:
# vertical
vertical = True
if oh <= self.h:
w = ow
h = oh
else:
# need resizing to smaller
w = self.h/oh * ow
h = self.h
if vertical:
self.image = cv2.resize(self.image, (int(w), int(h)))
self.image = self.image[0:self.h, 0:self.w]
bg_image = cv2.resize(self.image.copy(), (self.w, self.h))
# make darker
bg_image = cv2.add(bg_image, np.array([-25.0]))
bg_image = cv2.blur(bg_image, (200, 200))
x_offset = int(self.w / 2 - self.image.shape[1] / 2)
y_offset = 0
bg_image[y_offset:y_offset+self.image.shape[0], x_offset:x_offset+self.image.shape[1]] = self.image
self.image = bg_image
else:
self.image = cv2.resize(self.image, (int(w), int(h)))
# center zoom
x = self.image.shape[1]/2 - self.w/2
y = self.image.shape[0]/2 - self.h/2
if x > 0 and y > 0:
self.image = self.image[int(y):int(y+self.h), int(x):int(x+self.w)]
def add_metadata(self):
e = self.get_exif()
if e:
d = datetime.strptime(e['datetime_original'], "%Y:%m:%d %H:%M:%S")
date = d.strftime("%Y-%m-%d %H:%M")
place = self.get_place_name(e)
self.writeText(date, 2)
self.writeText(place, 1)
def writeText(self, text, line_from_bottom):
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
font = cv2.FONT_HERSHEY_SIMPLEX
font_size = 1
font_color = BLACK
font_thickness = 4
line_height = 1.2
padding = 20
textsize, baseline = cv2.getTextSize(text, font, font_size, font_thickness)
x = self.image.shape[1] - textsize[0] - padding
y = int(self.image.shape[0] - textsize[1] * line_from_bottom * line_height + baseline - padding)
print(baseline)
# outline
self.image = cv2.putText(self.image,
text,
(x,y),
font,
font_size,
font_color,
font_thickness,
cv2.LINE_AA)
# text
font_color = WHITE
font_thickness = 2
self.image = cv2.putText(self.image,
text,
(x,y),
font,
font_size,
font_color,
font_thickness,
cv2.LINE_AA)
def safe(self, new_path):
cv2.imwrite(new_path, self.image)
def show(self):
title = "Image"
cv2.imshow(title, self.image)
wait_with_check_closing(title)
cv2.destroyAllWindows()
if __name__ == "__main__":
if len(sys.argv) != 2:
print("Usage: edit.py path/to/picture.jpeg")
else:
img_path = sys.argv[1]
img = Image(img_path)
img.crop()
img.add_metadata()
img.show()
img.safe("/home/jeena/Downloads/test.jpg")

20
ha.py
View file

@ -1,20 +1,30 @@
#!/usr/bin/env python3 #!/usr/bin/env python3
import synology import synology
# from wand.image import Image
import os import os
import shutil import shutil
import edit
def prepare_photo(i, path): def prepare_photo(i, path):
# sudo apt-get install ufraw-batch # sudo apt-get install ufraw-batch
# convert 13895032967_642e23af42_o.jpg -adaptive-resize 1920x1080\> -size 1920x1080 xc:black +swap -gravity center -composite 01.jpg # convert 13895032967_642e23af42_o.jpg -adaptive-resize 1920x1080\> -size 1920x1080 xc:black +swap -gravity center -composite 01.jpg
# filename, file_extension = os.path.splitext(path) # filename, file_extension = os.path.splitext(path)
new_path = os.path.join(os.path.dirname(path), str(i) + '.jpg') n_path = new_path(i, path)
cmd = 'convert "' + path + '" -adaptive-resize 1920x1080\> -size 1920x1080 xc:black +swap -gravity center -composite ' + new_path cmd = 'convert "' + path + '" -adaptive-resize 1920x1080\> -size 1920x1080 xc:black +swap -gravity center -composite ' + n_path
print(cmd) print(cmd)
os.system(cmd) os.system(cmd)
# os.rename(path, new_path) # os.rename(path, new_path)
return new_path return n_path
def new_path(i, path):
return os.path.join(os.path.dirname(path), str(i) + '.jpg')
def resize_and_crop(i, path):
n_path = new_path(i, path)
img = edit.Image(path)
img.crop()
img.safe(n_path)
return n_path
def upload_photo(remotepath, path): def upload_photo(remotepath, path):
cmd = 'scp ' + path + ' ' + remotepath cmd = 'scp ' + path + ' ' + remotepath
@ -32,6 +42,6 @@ if __name__ == "__main__":
with os.scandir(dirpath) as dirs: with os.scandir(dirpath) as dirs:
for i, entry in enumerate(dirs): for i, entry in enumerate(dirs):
upload_photo(ha_path, prepare_photo(i, os.path.join(dirpath, entry.name))) upload_photo(ha_path, resize_and_crop(i, os.path.join(dirpath, entry.name)))
shutil.rmtree(dirpath) shutil.rmtree(dirpath)