float” object cannot be interpreted as an integer while reading the frame












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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.










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New contributor




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    0












    $begingroup$


    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.










    share|improve this question







    New contributor




    Sam is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















      0












      0








      0





      $begingroup$


      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.










      share|improve this question







      New contributor




      Sam is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      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






      share|improve this question







      New contributor




      Sam is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







      New contributor




      Sam is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question






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      Check out our Code of Conduct.









      asked 16 mins ago









      SamSam

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      New contributor




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      Sam is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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