files from/for giulia
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ae7bae033e
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FLOPPYLEFT - 2017
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Author: Slavoj Žižek
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Date: 1989
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Title: The Sublime Object of Floppy
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Description:
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And so on, and so on, and so on.
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#!/usr/bin/env python
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import cgi, jinja2, os, json, re
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import cgitb; cgitb.enable()
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from jinja2 import Template
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# Directory => ITEMS list (all files with a timestamp name, grouped)
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ff = os.listdir(".")
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tpat = re.compile(r"^(\d\d\d\d)(\d\d)(\d\d)T(\d\d)(\d\d)(\d\d)Z")
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items = {}
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for f in ff:
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base, ext = os.path.splitext(f)
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ext = ext[1:]
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m = tpat.match(f)
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if m:
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t = m.group(0)
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if t not in items:
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items[t] = {}
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items[t][ext] = f
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items = [items[key] for key in sorted(items, reverse=True)]
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# # dump the data (debugging)
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# print "Content-type: text/plain"
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# print ""
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# print json.dumps(items, indent=2)
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# Output template with items
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print "Content-type: text/html"
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print ""
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print Template(u"""<html>
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<head>
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<title>RECORD O RAMA</title>
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</head>
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<body>
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<form method="get" action="record.cgi">
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<input type="submit" value="record" />
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</form>
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{% for i in items %}
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<a href="../{{i.mp4}}"><img src="../{{i.jpg}}" /></a>
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{% endfor %}
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<div>
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<form method="get" action="record.cgi">
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<input type="submit" value="record" />
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</form>
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</div>
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</body>
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</html>""").render(items=items).encode("utf-8")
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#!/usr/bin/env python
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import cgi, sys, datetime
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import cgitb; cgitb.enable()
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import subprocess
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print "Content-type: text/html"
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print
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print "hello from python<br>"
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n = datetime.datetime.now()
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basename = n.strftime("%Y%m%dT%H%M%SZ")
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o1 = subprocess.check_output(["scripts/simplerecord.py", "--output", basename+".avi", "--time", "5"])
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print o1 + "<br>\n"
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o2 = subprocess.check_output(["ffmpeg", "-i", basename+".avi", "-y", basename+".mp4"])
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print o2 + "<br>\n"
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o2 = subprocess.check_output(["ffmpeg", "-i", basename+".avi", "-ss", "1", "-vframes", "1", "-y", basename+".jpg"])
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print o2 + "<br>\n"
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# print """<a href=\"../{0}.mp4\">VIDEO</a>""".format(basename)
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print """<a href="index.cgi">OK</a>"""
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Gait analysis number one.
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Please state your name:
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Position yourself 2 to 3 meters away from the Tetra Gamma Circulaire.
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Walk towards the Tetra Gamma Circulaire in a straight line .
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Position yourself one meter away to the left of the Tetra Gamma Circulaire.
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Walk from left to right in front of the Tetra Gamma Circulaire.
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Turn your back to the Tetra Gamma Circulaire.
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Walk away from the Tetra Gamma Circulaire.
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Position yourself 2 to 3 meters away from the Tetra Gamma Circulaire.
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Walk towards the Tetra Gamma Circulaire on a zig zag line.
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#N canvas 296 315 450 300 10;
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#X obj 37 104 osc~ 440;
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#X obj 37 146 dac~;
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#X obj 161 74 loadbang;
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#X msg 161 111 \; pd dsp 1;
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#X obj 37 36 netreceive 3000;
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#X obj 46 62 print;
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#X connect 0 0 1 0;
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#X connect 0 0 1 1;
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#X connect 2 0 3 0;
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#X connect 4 0 5 0;
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#X connect 4 0 0 0;
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#!/usr/bin/env python
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import os, random, time
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while True:
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freq = str(random.randint(0,10)*110)
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print(freq)
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os.system('echo "'+freq+';" | pdsend 3000')
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time.sleep(0.25)
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GREAT JOB!
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#! /usr/bin/env python
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import subprocess
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from time import sleep
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# requires: espeak to be installed
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waittimes = [1,2,1,4,1,4,1,4,1,4]
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f=open("instructions.txt","r")
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txt=f.readlines()
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for i, line in enumerate(txt):
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waittime = waittimes[i]
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print i, waittime #, line,
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subprocess.call(["espeak", line, "-v", "en"]) # character speaks: his/her line
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sleep(waittime) # make pause after each text line
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#!/usr/bin/env python
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import numpy as np
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import cv2
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import video
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def draw_flow(img, flow, step=16):
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h, w = img.shape[:2]
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y, x = np.mgrid[step/2:h:step, step/2:w:step].reshape(2,-1)
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fx, fy = flow[y,x].T
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lines = np.vstack([x, y, x+fx, y+fy]).T.reshape(-1, 2, 2)
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lines = np.int32(lines + 0.5)
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vis = cv2.cvtColor(img, cv2.COLOR_GRAY2BGR)
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cv2.polylines(vis, lines, 0, (0, 0, 0))
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# for (x1, y1), (x2, y2) in lines:
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# cv2.circle(vis, (x1, y1), 1, (0, 255, 0), -1)
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return vis
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def draw_hsv(flow):
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h, w = flow.shape[:2]
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fx, fy = flow[:,:,0], flow[:,:,1]
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ang = np.arctan2(fy, fx) + np.pi
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v = np.sqrt(fx*fx+fy*fy)
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# hsv = np.zeros((h, w, 3), np.uint8)
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# hsv[...,0] = ang*(180/np.pi/2)
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# hsv[...,1] = 255
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# hsv[...,2] = np.minimum(v*4, 255)
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# bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
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f = np.zeros((h, w, 3), np.uint8)
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f[...,0] = 0 #np.minimum(v*10, 255)
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f[...,1] = 0
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f[...,2] = 255- np.minimum(v**2, 255) #ang*(180/np.pi/2)
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bgr = cv2.cvtColor(f, cv2.COLOR_HSV2BGR)
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return bgr
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width, height = 640, 480
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cam = video.create_capture("0:size="+str(width)+"x"+str(height))
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while True:
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ret, prev = cam.read()
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prevgray = cv2.cvtColor(prev, cv2.COLOR_BGR2GRAY)
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if prevgray.shape == (height, width):
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break
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while True:
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ret, img = cam.read()
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gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
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print prevgray.shape, gray.shape
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flow = cv2.calcOpticalFlowFarneback(prevgray, gray, 0.5, 3, 15, 3, 5, 1.2, 0)
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prevgray = gray
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# cv2.imshow('flow', draw_flow(gray, flow))
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cv2.imshow('flow', draw_hsv(flow))
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ch = 0xFF & cv2.waitKey(5)
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if ch == 27:
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break
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cv2.destroyAllWindows()
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#!/usr/bin/env python
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from __future__ import print_function
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import cv2, os, sys, time
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import numpy as np
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from argparse import ArgumentParser
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def draw(flow):
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h, w = flow.shape[:2]
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fx, fy = flow[:,:,0], flow[:,:,1]
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ang = np.arctan2(fy, fx) + np.pi
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v = np.sqrt(fx*fx+fy*fy)
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# hsv = np.zeros((h, w, 3), np.uint8)
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# hsv[...,0] = ang*(180/np.pi/2)
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# hsv[...,1] = 255
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# hsv[...,2] = np.minimum(v*4, 255)
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# bgr = cv2.cvtColor(hsv, cv2.COLOR_HSV2BGR)
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f = np.zeros((h, w, 3), np.uint8)
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f[...,0] = 0 #np.minimum(v*10, 255)
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f[...,1] = 0
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f[...,2] = 255- np.minimum(v**2, 255) #ang*(180/np.pi/2)
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bgr = cv2.cvtColor(f, cv2.COLOR_HSV2BGR)
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return bgr
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p = ArgumentParser("")
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p.add_argument("--video", type=int, default=0, help="video, default: 0")
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p.add_argument("--output", default=None, help="path to save movie, default: None (show live)")
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p.add_argument("--width", type=int, default=640, help="pre-detect resize width")
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p.add_argument("--height", type=int, default=480, help="pre-detect resize height")
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p.add_argument("--fourcc", default="XVID", help="MJPG,mp4v,XVID")
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p.add_argument("--framerate", type=float, default=25, help="output frame rate")
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p.add_argument("--show", default=False, action="store_true")
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p.add_argument("--time", type=float, default=None)
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args = p.parse_args()
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fourcc = None
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cam = cv2.VideoCapture(args.video)
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cam.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, args.width)
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cam.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, args.height)
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if args.output:
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try:
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fourcc = cv2.cv.CV_FOURCC(*args.fourcc)
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except AttributeError:
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fourcc = cv2.VideoWriter_fourcc(*args.fourcc)
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out = cv2.VideoWriter()
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out.open(args.output, fourcc, args.framerate, (args.width, args.height))
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else:
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out = None
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while True:
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ret, prev = cam.read()
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prevgray = cv2.cvtColor(prev, cv2.COLOR_BGR2GRAY)
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if prevgray.shape == (args.height, args.width):
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break
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try:
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if args.time != None:
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start = time.time()
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while True:
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ret, frame = cam.read()
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gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
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flow = cv2.calcOpticalFlowFarneback(prevgray, gray, 0.5, 3, 15, 3, 5, 1.2, 0)
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prevgray = gray
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frame = draw(flow)
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if out != None:
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out.write(frame)
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if args.show:
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cv2.imshow('display', frame)
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if cv2.waitKey(5) & 0xFF == ord('q'):
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break
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if args.time != None:
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elapsed = time.time() - start
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if (elapsed >= args.time):
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break
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except KeyboardInterrupt:
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pass
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print ("\nCleaning up...")
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if out:
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out.release()
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if args.show:
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cv2.destroyAllWindows()
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#!/usr/bin/env python
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from __future__ import print_function
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import cv2, os, sys, time
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from argparse import ArgumentParser
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p = ArgumentParser("")
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p.add_argument("--video", type=int, default=0, help="video, default: 0")
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p.add_argument("--output", default=None, help="path to save movie, default: None (show live)")
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p.add_argument("--width", type=int, default=640, help="pre-detect resize width")
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p.add_argument("--height", type=int, default=480, help="pre-detect resize height")
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p.add_argument("--fourcc", default="XVID", help="MJPG,mp4v,XVID")
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p.add_argument("--framerate", type=float, default=25, help="output frame rate")
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p.add_argument("--show", default=False, action="store_true")
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p.add_argument("--time", type=float, default=None)
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args = p.parse_args()
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fourcc = None
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cam = cv2.VideoCapture(args.video)
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cam.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, args.width)
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cam.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, args.height)
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if args.output:
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try:
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fourcc = cv2.cv.CV_FOURCC(*args.fourcc)
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except AttributeError:
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fourcc = cv2.VideoWriter_fourcc(*args.fourcc)
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out = cv2.VideoWriter()
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out.open(args.output, fourcc, args.framerate, (args.width, args.height))
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else:
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out = None
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try:
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if args.time != None:
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start = time.time()
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while True:
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ret, frame = cam.read()
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if out != None:
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out.write(frame)
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if args.show:
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cv2.imshow('display', frame)
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if cv2.waitKey(5) & 0xFF == ord('q'):
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break
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if args.time != None:
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elapsed = time.time() - start
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if (elapsed >= args.time):
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break
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except KeyboardInterrupt:
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pass
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print ("\nCleaning up...")
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if out:
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out.release()
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if args.show:
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cv2.destroyAllWindows()
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Reference in New Issue