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Resolved Issue #75 #79

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c705858
Resolved Issue #75
zacker150 Apr 11, 2020
11f7b6a
Removed Sequential processing
zacker150 Jun 15, 2020
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38 changes: 15 additions & 23 deletions vcsi/vcsi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -705,32 +705,24 @@ def do_capture(ts_tuple, width, height, suffix, args):
futures = []

if args.fast:
# use multiple threads
with ThreadPoolExecutor() as executor:
for i, timestamp_tuple in enumerate(timestamps):
status = "Starting task... {}/{}".format(i + 1, args.num_samples)
print(status, end="\r")
suffix = ".jpg" # faster processing time
future = executor.submit(do_capture, timestamp_tuple, desired_size[0], desired_size[1], suffix, args)
futures.append(future)
print()

for i, future in enumerate(futures):
status = "Sampling... {}/{}".format(i + 1, args.num_samples)
print(status, end="\r")
frame = future.result()
blurs += [
frame
]
print()
suffix = ".jpg" # faster processing time
else:
# grab captures sequentially
suffix = ".png" # arguably higher image quality

# use multiple threads
with ThreadPoolExecutor() as executor:
for i, timestamp_tuple in enumerate(timestamps):
status = "Sampling... {}/{}".format(i + 1, args.num_samples)
status = "Starting task... {}/{}".format(i + 1, args.num_samples)
print(status, end="\r")
suffix = ".png" # arguably higher image quality
frame = do_capture(timestamp_tuple, desired_size[0], desired_size[1], suffix, args)

future = executor.submit(do_capture, timestamp_tuple, desired_size[0], desired_size[1], suffix, args)
futures.append(future)
print()

for i, future in enumerate(futures):
status = "Sampling... {}/{}".format(i + 1, args.num_samples)
print(status, end="\r")
frame = future.result()
blurs += [
frame
]
Expand Down Expand Up @@ -1696,7 +1688,7 @@ def process_file(path, args):
if args.interval is not None:
total_delay = total_delay_seconds(media_info, args)
selected_duration = media_info.duration_seconds - total_delay
args.num_samples = math.floor(selected_duration / args.interval.total_seconds())
args.num_samples = math.floor((selected_duration - 1) / args.interval.total_seconds())
args.num_selected = args.num_samples
args.num_groups = args.num_samples

Expand Down