def picture():
img_root = "images"
img_name = "{}.jpeg".format(datetime.datetime.now())
if not os.path.exists(img_root):
os.makedirs(img_root)
img_path = os.path.join(img_root, img_name)
cmd_array = [
"streamer",
"-c",
"/dev/video1",
"-s",
resolution,
"-o",
img_path,
]
cmd_array
ret = check_output(cmd_array)
display_jpeg(Image(img_path))
def display_all():
display_jpeg(Image("blended.jpg"))
filename = f'./{track.artist} - {track.title}.mp3'
# trackをmp3で保存
with open(filename, 'wb+') as fp:
track.write_mp3_to(fp)
# trackの持つプロパティをすべて表示
track = api.resolve(
'https://soundcloud.com/orco-350884854/diamond-dustprodweirdove')
array = dir(track)
for index, item in enumerate(array):
print('■' + str(index) + '：' + item)
x = 'track.' + item
print(eval(x))
display_jpeg(Image(track.user['avatar_url']))
# playlistのtracksをすべて表示
playlist_url = 'https://soundcloud.com/chillysource/sets/dj-kro-mix'
# assertを使う方法 -> noとtitleの設定ができない
# playlist = api.resolve(playlist_url)
# assert type(playlist) is Playlist
# for track in playlist.tracks:
# print(str(track.track_no) + ':' + track.title)
# enumarateを使う方法
playlist = api.resolve(playlist_url)
for track_number, track in enumerate(playlist):
track.track_no = track_number
track.album = playlist.title
if finded_photo['label'] == "Square":
print(finded_photo['source'])
img = requests.get(finded_photo['source'])
img_file = open(f'flickr_photo/{i}.jpg', 'wb')
img_file.write(img.content)
img_file.close()
print("ok")
for i in range(100):
image = Image.open(f'flickr_photo/{i}.jpg')
w, h = image.size
rr, gg, bb = 0, 0, 0
for x in range(w):
for y in range(h):
r, g, b = image.getpixel((x, y))
rr += r
gg += g
bb += b
cnt = w * h
print(rr // cnt, gg // cnt, bb // cnt)
awg_color = Image.new('RGB', (150, 75),
color=(rr // cnt, gg // cnt, bb // cnt))
awg_color.paste(image, (0, 0, 75, 75))
awg_color.save(f'flickr_photo/awg_{i}.jpg', "JPEG")
image = display.Image(f'flickr_photo/{i}.jpg')
awg_color = display.Image(f'flickr_photo/awg_{i}.jpg')
display.display_jpeg(awg_color)
np.save(out_npy_path, song_features)
return (output_dict, song_features)
if __name__ == '__main__':
soundnet = load_model("./data/models/soundnet.hdf5")
imagenet = MobileNet(include_top=True,
weights='imagenet') # using MobileNet
# create sound features using SoundNet model
(mp3_files, sound_features) = create_sound_libs(soundnet)
print("#of mp3 files", len(mp3_files['mp3']))
with open("./data/sounds.json") as f:
mp3_files = json.load(f)
sound_features = np.load("./data/song_features.npy")
IMG_PATH = "./snow_skyscraper.jpg"
display_jpeg(Image(IMG_PATH))
# Extract image features using ImageNet model(MobileNet)
img_feature = get_image_features(imagenet, IMG_PATH)
# Match the image features and pre-processed sound features,
# then find the topK best matched sound files
topk_indecies = get_topk_songs(img_feature, sound_features, k=3)
print("The best-matched sound:")
display(Audio(mp3_files["mp3"][topk_indecies[0]]["filepath"]))
#%%
from icrawler.builtin import BingImageCrawler
# 猫の画像100枚を取得
crawler = BingImageCrawler(storage={'root_dir': 'cat'})
crawler.crawl(keyword='猫', max_num=100)
# %%
# 犬の画像を100枚を取得
crawler = BingImageCrawler(storage={'root_dir': 'dog'})
crawler.crawl(keyword='犬', max_num=100)
# %%
# 画像の表示
import os
from IPython.display import Image, display_jpeg
path = os.getcwd()
display_jpeg(Image(path + '\\cat\\000001.jpg'))
# %%
from PIL import Image, ImageFile
import glob
import numpy as np
ImageFile.LOAD_TRUNCATED_IMAGES = True
classes = ['dog', 'cat']
num_classes = len(classes)
image_size = 64
num_testdata = 25
X_train, X_test, y_train, y_test = [], [], [], []
for index, classlabel in enumerate(classes):
def img_download(self, video_id, thumbnail_link):
response = requests.get(thumbnail_link, allow_redirects=False)
if response.status_code == 200:
img = response.content
display_jpeg(Image(img))
#画像ファイルの表示
from IPython.display import Image, display_jpeg
import requests
URL = "http://www.teu.ac.jp/common/images/mainimgs/mainimgs_gaiyou.jpg"
FNAME = "gakuen.jpg"
r = requests.get(URL)
display_jpeg(Image(r.content))
open(FNAME, "wb").write(r.content)
#im = Image.open("gakuen.jpg")
#im.show()