Edison's profile - activity

Hi, fellows. Thanks for the answers. I was able to solve the problem with the first answer. My bad not to pay attention to indentation. Maybe this question can be considered CLOSED. Thanks again.

Googling around I noticed that some people don't use the -bg option. Seems right, for this command is for generating positive samples so trainning can use it. So, no need to call the negative images at this time. Is that wrong?

Hi.

Ubuntu 16.04, opencv 3, python 2.7.

I can see the light, close to the notebook camera, lit.

I print the pixels being captured. But the window with image doesn't show up.

My notebook Graphics are:

 sudo lshw -C video
  *-display               
       description: VGA compatible controller
       product: Haswell-ULT Integrated Graphics Controller
       vendor: Intel Corporation
       physical id: 2
       bus info: pci@0000:00:02.0
       version: 0b
       width: 64 bits
       clock: 33MHz
       capabilities: msi pm vga_controller bus_master cap_list rom
       configuration: driver=i915 latency=0
       resources: irq:43 memory:f7400000-f77fffff memory:d0000000-dfffffff ioport:f000(size=64)
  *-display
       description: 3D controller
       product: GF117M [GeForce 610M/710M/810M/820M / GT 620M/625M/630M/720M]
       vendor: NVIDIA Corporation
       physical id: 0
       bus info: pci@0000:08:00.0
       version: a1
       width: 64 bits
       clock: 33MHz
       capabilities: pm msi pciexpress bus_master cap_list rom
       configuration: driver=nvidia latency=0
       resources: irq:47 memory:f6000000-f6ffffff memory:e0000000-efffffff memory:f0000000-f1ffffff ioport:d000(size=128) memory:f7000000-f707ffff

Cheese opens a window and shows my ugly face. So, it's not the camera.

Any idea? Thanks in advance.

Edison.

I have to give the info you asked here for the site is telling me to wait 2 days to answer.

1 - my code follows:

import numpy as np
import cv2

cap = cv2.VideoCapture(0)

while True:
    #capture frame by frame
    ret, img = cap.read()
#    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
    cv2.imshow('test', img)


cv2.waitKey(0) & 0xFF
cv2.destroyAllWindows()
cap.release()

2 - no erros reported

3- install of python bindings according instructions from Adrian, PyIage blog, using apt-get install. (if you prefer I can post the libs installed here, specially those that refer to video.