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python noobs NEVER validate their input, thus the funny errors.

did your capture open at all ? did it ead an image ? was the imread() output valid ?

you HAVE TO CHECK ALL OF THOSE !

python noobs NEVER validate their input, thus the funny errors.

did your capture open at all ? did it ead read an image ? was the imread() output valid ?

you HAVE TO CHECK ALL OF THOSE !

python noobs NEVER validate their input, thus the funny errors.

did your capture open at all ? did it read an image ? was the imread() output valid ?

you HAVE TO CHECK ALL OF THOSE !

python noobs NEVER validate their input, thus the funny errors.

did your capture open at all ? did it read an image ? was the imread() output valid ?

you HAVE TO CHECK ALL OF THOSE !

then, NO, feature matching can't be abused for object detection

you can only use it to find a part of a known scene, not with arbitrary images.images. (you'll have to re-think the whole (broken !) approach)

good_matches=[]
for m,n in matches:
    if m.distance < 0.7 * n.distance:
        good_matches.append(m)
    return len(good_matches) ## what ? indentation error (it will return after the 1st) ?

python noobs NEVER validate their input, thus the funny errors.

did your capture open at all ? did it read an image ? was the imread() output valid ?

you HAVE TO CHECK ALL OF THOSE !

then, NO, feature matching can't be abused for object detection

you can only use it to find a part of a known scene, not with arbitrary images. (you'll have to re-think the whole (broken !) approach)

also:

good_matches=[]
for m,n in matches:
    if m.distance < 0.7 * n.distance:
        good_matches.append(m)
    return len(good_matches) ## what ? indentation error (it will return after the 1st) ?

please also learn, that the number of matches is entirely irrelevant here, it's NOT here. if you happen to have a measure for "similarity" or such.

python noobs NEVER validate their input, thus the funny errors.

did your capture open at all ? did it read an image ? was the imread() output valid ?

you HAVE TO CHECK ALL OF THOSE !

then, NO, feature matching can't be abused for object detection

you can only use it to find a part of a known scene, not with arbitrary images. (you'll have to re-think the whole (broken !) approach)

also:

good_matches=[]
for m,n in matches:
    if m.distance < 0.7 * n.distance:
        good_matches.append(m)
    return len(good_matches) ## what ? indentation error (it will return after the 1st) ?

please also learn, that the number of matches is entirely irrelevant here. if you happen to have a potted plant in the background in both images, it will happily take most matches from there. it does not at all know, "what you're looking for", so results are arbitrary.