def saveVideo(save_start=1, frames=100000, format="mjpeg"):
global save_flag
if save_flag:
global FRAMES
if format == "mjpeg":
global m
else:
global g
if save_start == 0:
pyb.LED(3).on()
if format == "mjpeg":
m = mjpeg.Mjpeg("test_%s.mjpeg" % pyb.rng())
else:
g = gif.Gif("test_%s.gif" % pyb.rng())
FRAMES = frames
elif save_start == 1:
global img
# 记录帧
if record_pin.value() and FRAMES > 0:
if format == "mjpeg":
m.add_frame(img, quality=30)
else:
g.add_frame(img, delay=6) # 10FPS
FRAMES -= 1
else:
saveVideo(2)
else:
pyb.LED(3).off()
if format == "mjpeg":
m.close(clock.fps())
else:
g.close()
save_flag = 0
def set_url(bot, update, user_data):
logger.info("set_url")
video.clear_user_files('output', str(update.effective_user.id))
url = update.message.text
user_data["gif"] = gif.Gif(str(update.effective_user.id))
try:
user_data["gif"].url = url
except ValueError:
bot.send_message(
chat_id=update.message.chat_id,
text=
"please enter a secure youtube url like (https://www.youtube.com...)"
)
return 0
output_path = "output/" + str(update.effective_user.id)
user_data["gif"].set_metadata(video.dl_youtube_url(url, False,
output_path))
bot.send_message(chat_id=update.message.chat_id,
text="start time? (%H:%M:%S.xxx)")
return 1
def imagefy(json):
direction = json['direction']
size = get_image_size(direction)
width, height = size['width'], size['height']
data, colors = json_to_data(json['colors'], direction, width, height)
print(colors)
gif_image = gif.Gif(data, width, height, colors)
return gif_image.to_bytes()
def test_start_time():
a = gif.Gif("0")
a.set_start_time("00:00:03")
a.set_stop_time("00:00:05")
try:
a.set_stop_time("00:00:02")
except ValueError:
assert True
sensor.skip_frames(time=2000) # Give the user time to get ready.
pyb.LED(RED_LED_PIN).off()
sensor.snapshot().save("temp/bg.bmp")
print("Saved background image - Now detecting motion!")
pyb.LED(BLUE_LED_PIN).on()
diff = 10 # 连续测试10帧，减少误判.
while (diff):
img = sensor.snapshot()
img.difference("temp/bg.bmp")
stats = img.statistics()
#下面Stats[5] 返回RGB5656 LAB 中L的最大值(0-255) (int)，大于20判定为图片变化，即物体移动.
if (stats[5] > 20):
diff -= 1
g = gif.Gif("example-%d.gif" % pyb.rng(), loop=True)
clock = time.clock() # Tracks FPS.
print("You're on camera!")
for i in range(100):
clock.tick()
# clock.avg() returns the milliseconds between frames - gif delay is in
g.add_frame(sensor.snapshot(),
delay=int(clock.avg() / 10)) # centiseconds.
print(clock.fps())
g.close()
pyb.LED(BLUE_LED_PIN).off()
print("Restarting...")
#sensor.skip_frames(time = 2000)
#m = mjpeg.Mjpeg('openmv_video.mjpeg')
#clock = time.clock()
#start = pyb.millis()
#record_time=5000
#while(pyb.elapsed_millis(start) < record_time):
#clock.tick()
#m.add_frame(sensor.snapshot())
#print('closed record')
#m.close(clock.fps())
import sensor, gif
# Setup camera.
sensor.reset()
sensor.set_pixformat(sensor.GRAYSCALE)
sensor.set_framesize(sensor.QQVGA)
sensor.skip_frames()
# Create the gif object.
g = gif.Gif("example.gif")
# Add frames.
for i in range(100):
g.add_frame(sensor.snapshot())
#print('saved')
# Finalize.
g.close()
import gif
import os
import pickle
import configparser
import time
import subprocess
ACCOUNTS_FILE = 'accounts.zoomgtadonotopenverysecret'
CONFIG_FILE = 'config.zoomgta.ini'
gif = gif.Gif()
cfg = configparser.ConfigParser()
current_account = 0
if os.path.exists(CONFIG_FILE) and os.path.getsize(CONFIG_FILE) > 0:
cfg.read(CONFIG_FILE)
def_gif = cfg['General']['DefaultGifPath']
def_delay = cfg['General']['DefaultDelay']
else:
def_gif = None
def_delay = 1
if os.path.exists(ACCOUNTS_FILE) and os.path.getsize(ACCOUNTS_FILE) > 0:
accounts = pickle.load(open(ACCOUNTS_FILE, 'rb'))
else:
accounts = []
# start_gui = input('Start GUI? (y/n)')
# if start_gui == 'y':
# import gui
# exit(0)
# TODO: GUI
print('If you like this program, please, consider donating:\n'
'https://donatepay.ru/don/pozhiloyenotik\n'
import sensor, image, time, gif, pyb
RED_LED_PIN = 1
BLUE_LED_PIN = 3
sensor.reset() # Initialize the camera sensor.
sensor.set_pixformat(sensor.RGB565) # or sensor.GRAYSCALE
sensor.set_framesize(sensor.QQVGA) # or sensor.QVGA (or others)
sensor.skip_frames(time = 2000) # Let new settings take affect.
clock = time.clock() # Tracks FPS.
pyb.LED(RED_LED_PIN).on()
sensor.skip_frames(time = 2000) # Give the user time to get ready.
pyb.LED(RED_LED_PIN).off()
pyb.LED(BLUE_LED_PIN).on()
g = gif.Gif("example.gif", loop=True)
print("You're on camera!")
for i in range(100):
clock.tick()
# clock.avg() returns the milliseconds between camera - gif delay is in
g.add_frame(sensor.snapshot(), delay=int(clock.avg()/10)) # centiseconds.
print(clock.fps())
g.close()
pyb.LED(BLUE_LED_PIN).off()
print("Done! Reset the camera to see the saved recording.")
