float” object cannot be interpreted as an integer while reading the frame
$begingroup$
I am trying to read the frames using imageio
API. I have a reader as an object which I have received using imageio.get_reader(video_path,"ffmpeg")
. I have the following frame reader function
def read_frames(reader, frame_q, use_webcam):
if use_webcam:
time.sleep(15)
frame_cnt = 0
while True:
#if frame_cnt % 5 == 0:
# ret, frame = reader.read()
# cur_img = frame[:,:,::-1]
# frame_q.put(cur_img)
#else:
# ret, frame = reader.read()
ret, frame = reader.read()
cur_img = frame[:,:,::-1] # bgr to rgb from opencv reader
frame_q.put(cur_img)
if frame_q.qsize() > 100:
time.sleep(1)
else:
time.sleep(DELAY/1000.)
#print(cur_img.shape)
else:
#for cur_img in reader: # this is imageio reader, it uses rgb
nframes = reader.get_length() **#getting error here**
# if nframes == float('inf') or nframes ==float('-inf'):
# return float("nan")
# return int(nframes)
for ii in range(nframes):
while frame_q.qsize() > 500: # so that we dont use huge amounts of memory
time.sleep(1)
cur_img = reader.get_next_data()
frame_q.put(cur_img)
#shape = cur_img.shape
#noisy_img = np.uint8(cur_img.astype(np.float) + np.random.randn(*shape) * 20)
#frame_q.put(noisy_img)
if ii % 100 == 0:
print("%i / %i frames in queue" % (ii, nframes))
print("All %i frames in queue" % (nframes))
Traceback :
Traceback (most recent call last):
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "multiprocess_detect_actions.py", line 67, in read_frames
for ii in range(nframes):
TypeError: 'float' object cannot be interpreted as an integer
I tried to use float('inf')as commented in the code but it is not useful in this case. I also tried to convert a float value to integer but it showing the same error. I would appreciate your advice on this. thank you.
python image
New contributor
$endgroup$
add a comment |
$begingroup$
I am trying to read the frames using imageio
API. I have a reader as an object which I have received using imageio.get_reader(video_path,"ffmpeg")
. I have the following frame reader function
def read_frames(reader, frame_q, use_webcam):
if use_webcam:
time.sleep(15)
frame_cnt = 0
while True:
#if frame_cnt % 5 == 0:
# ret, frame = reader.read()
# cur_img = frame[:,:,::-1]
# frame_q.put(cur_img)
#else:
# ret, frame = reader.read()
ret, frame = reader.read()
cur_img = frame[:,:,::-1] # bgr to rgb from opencv reader
frame_q.put(cur_img)
if frame_q.qsize() > 100:
time.sleep(1)
else:
time.sleep(DELAY/1000.)
#print(cur_img.shape)
else:
#for cur_img in reader: # this is imageio reader, it uses rgb
nframes = reader.get_length() **#getting error here**
# if nframes == float('inf') or nframes ==float('-inf'):
# return float("nan")
# return int(nframes)
for ii in range(nframes):
while frame_q.qsize() > 500: # so that we dont use huge amounts of memory
time.sleep(1)
cur_img = reader.get_next_data()
frame_q.put(cur_img)
#shape = cur_img.shape
#noisy_img = np.uint8(cur_img.astype(np.float) + np.random.randn(*shape) * 20)
#frame_q.put(noisy_img)
if ii % 100 == 0:
print("%i / %i frames in queue" % (ii, nframes))
print("All %i frames in queue" % (nframes))
Traceback :
Traceback (most recent call last):
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "multiprocess_detect_actions.py", line 67, in read_frames
for ii in range(nframes):
TypeError: 'float' object cannot be interpreted as an integer
I tried to use float('inf')as commented in the code but it is not useful in this case. I also tried to convert a float value to integer but it showing the same error. I would appreciate your advice on this. thank you.
python image
New contributor
$endgroup$
add a comment |
$begingroup$
I am trying to read the frames using imageio
API. I have a reader as an object which I have received using imageio.get_reader(video_path,"ffmpeg")
. I have the following frame reader function
def read_frames(reader, frame_q, use_webcam):
if use_webcam:
time.sleep(15)
frame_cnt = 0
while True:
#if frame_cnt % 5 == 0:
# ret, frame = reader.read()
# cur_img = frame[:,:,::-1]
# frame_q.put(cur_img)
#else:
# ret, frame = reader.read()
ret, frame = reader.read()
cur_img = frame[:,:,::-1] # bgr to rgb from opencv reader
frame_q.put(cur_img)
if frame_q.qsize() > 100:
time.sleep(1)
else:
time.sleep(DELAY/1000.)
#print(cur_img.shape)
else:
#for cur_img in reader: # this is imageio reader, it uses rgb
nframes = reader.get_length() **#getting error here**
# if nframes == float('inf') or nframes ==float('-inf'):
# return float("nan")
# return int(nframes)
for ii in range(nframes):
while frame_q.qsize() > 500: # so that we dont use huge amounts of memory
time.sleep(1)
cur_img = reader.get_next_data()
frame_q.put(cur_img)
#shape = cur_img.shape
#noisy_img = np.uint8(cur_img.astype(np.float) + np.random.randn(*shape) * 20)
#frame_q.put(noisy_img)
if ii % 100 == 0:
print("%i / %i frames in queue" % (ii, nframes))
print("All %i frames in queue" % (nframes))
Traceback :
Traceback (most recent call last):
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "multiprocess_detect_actions.py", line 67, in read_frames
for ii in range(nframes):
TypeError: 'float' object cannot be interpreted as an integer
I tried to use float('inf')as commented in the code but it is not useful in this case. I also tried to convert a float value to integer but it showing the same error. I would appreciate your advice on this. thank you.
python image
New contributor
$endgroup$
I am trying to read the frames using imageio
API. I have a reader as an object which I have received using imageio.get_reader(video_path,"ffmpeg")
. I have the following frame reader function
def read_frames(reader, frame_q, use_webcam):
if use_webcam:
time.sleep(15)
frame_cnt = 0
while True:
#if frame_cnt % 5 == 0:
# ret, frame = reader.read()
# cur_img = frame[:,:,::-1]
# frame_q.put(cur_img)
#else:
# ret, frame = reader.read()
ret, frame = reader.read()
cur_img = frame[:,:,::-1] # bgr to rgb from opencv reader
frame_q.put(cur_img)
if frame_q.qsize() > 100:
time.sleep(1)
else:
time.sleep(DELAY/1000.)
#print(cur_img.shape)
else:
#for cur_img in reader: # this is imageio reader, it uses rgb
nframes = reader.get_length() **#getting error here**
# if nframes == float('inf') or nframes ==float('-inf'):
# return float("nan")
# return int(nframes)
for ii in range(nframes):
while frame_q.qsize() > 500: # so that we dont use huge amounts of memory
time.sleep(1)
cur_img = reader.get_next_data()
frame_q.put(cur_img)
#shape = cur_img.shape
#noisy_img = np.uint8(cur_img.astype(np.float) + np.random.randn(*shape) * 20)
#frame_q.put(noisy_img)
if ii % 100 == 0:
print("%i / %i frames in queue" % (ii, nframes))
print("All %i frames in queue" % (nframes))
Traceback :
Traceback (most recent call last):
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 258, in _bootstrap
self.run()
File "/home/prashantb/anaconda3/envs/demo/lib/python3.6/multiprocessing/process.py", line 93, in run
self._target(*self._args, **self._kwargs)
File "multiprocess_detect_actions.py", line 67, in read_frames
for ii in range(nframes):
TypeError: 'float' object cannot be interpreted as an integer
I tried to use float('inf')as commented in the code but it is not useful in this case. I also tried to convert a float value to integer but it showing the same error. I would appreciate your advice on this. thank you.
python image
python image
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