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#
# Copyright 2020 NVIDIA Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Starting from Python 3.8 DLL search policy has changed.
# We need to add path to CUDA DLLs explicitly.
import sys
import os
if os.name == "nt":
# Add CUDA_PATH env variable
cuda_path = os.environ["CUDA_PATH"]
if cuda_path:
os.add_dll_directory(cuda_path)
else:
print("CUDA_PATH environment variable is not set.", file=sys.stderr)
print("Can't set CUDA DLLs search path.", file=sys.stderr)
exit(1)
# Add PATH as well for minor CUDA releases
sys_path = os.environ["PATH"]
if sys_path:
paths = sys_path.split(";")
for path in paths:
if os.path.isdir(path):
os.add_dll_directory(path)
else:
print("PATH environment variable is not set.", file=sys.stderr)
exit(1)
import pycuda.driver as cuda
import PyNvCodec as nvc
import numpy as np
from threading import Thread
class Worker(Thread):
def __init__(self, gpuID, encFile):
Thread.__init__(self)
# Retain primary CUDA device context and create separate stream per thread.
self.ctx = cuda.Device(gpuID).retain_primary_context()
self.ctx.push()
self.str = cuda.Stream()
self.ctx.pop()
# Create Decoder with given CUDA context & stream.
self.nvDec = nvc.PyNvDecoder(encFile, self.ctx.handle, self.str.handle)
width, height = self.nvDec.Width(), self.nvDec.Height()
hwidth, hheight = int(width / 2), int(height / 2)
# Determine colorspace conversion parameters.
# Some video streams don't specify these parameters so default values
# are most widespread bt601 and mpeg.
cspace, crange = self.nvDec.ColorSpace(), self.nvDec.ColorRange()
if nvc.ColorSpace.UNSPEC == cspace:
cspace = nvc.ColorSpace.BT_601
if nvc.ColorRange.UDEF == crange:
crange = nvc.ColorRange.MPEG
self.cc_ctx = nvc.ColorspaceConversionContext(cspace, crange)
print("Color space: ", str(cspace))
print("Color range: ", str(crange))
# Initialize colorspace conversion chain
if self.nvDec.ColorSpace() != nvc.ColorSpace.BT_709:
self.nvYuv = nvc.PySurfaceConverter(
width,
height,
self.nvDec.Format(),
nvc.PixelFormat.YUV420,
self.ctx.handle,
self.str.handle,
)
else:
self.nvYuv = None
if self.nvYuv:
self.nvCvt = nvc.PySurfaceConverter(
width,
height,
self.nvYuv.Format(),
nvc.PixelFormat.RGB,
self.ctx.handle,
self.str.handle,
)
else:
self.nvCvt = nvc.PySurfaceConverter(
width,
height,
self.nvDec.Format(),
nvc.PixelFormat.RGB,
self.ctx.handle,
self.str.handle,
)
self.nvRes = nvc.PySurfaceResizer(
hwidth, hheight, self.nvCvt.Format(), self.ctx.handle, self.str.handle
)
self.nvDwn = nvc.PySurfaceDownloader(
hwidth, hheight, self.nvRes.Format(), self.ctx.handle, self.str.handle
)
self.num_frame = 0
def run(self):
try:
while True:
try:
self.rawSurface = self.nvDec.DecodeSingleSurface()
if self.rawSurface.Empty():
print("No more video frames")
break
except nvc.HwResetException:
print("Continue after HW decoder was reset")
continue
if self.nvYuv:
self.yuvSurface = self.nvYuv.Execute(self.rawSurface, self.cc_ctx)
self.cvtSurface = self.nvCvt.Execute(self.yuvSurface, self.cc_ctx)
else:
self.cvtSurface = self.nvCvt.Execute(self.rawSurface, self.cc_ctx)
if self.cvtSurface.Empty():
print("Failed to do color conversion")
break
self.resSurface = self.nvRes.Execute(self.cvtSurface)
if self.resSurface.Empty():
print("Failed to resize surface")
break
self.rawFrame = np.ndarray(
shape=(self.resSurface.HostSize()), dtype=np.uint8
)
success = self.nvDwn.DownloadSingleSurface(
self.resSurface, self.rawFrame
)
if not (success):
print("Failed to download surface")
break
self.num_frame += 1
if 0 == self.num_frame % self.nvDec.Framerate():
print(f"Thread {self.ident} at frame {self.num_frame}")
except Exception as e:
print(getattr(e, "message", str(e)))
fout.close()
def create_threads(gpu_id, input_file, num_threads):
cuda.init()
thread_pool = []
for i in range(0, num_threads):
thread = Worker(gpu_id, input_file)
thread.start()
thread_pool.append(thread)
for thread in thread_pool:
thread.join()
if __name__ == "__main__":
print(
"This sample decodes video streams in parallel threads. It does not save output."
)
print("GPU-accelerated color conversion and resize are also applied.")
print("This sample may serve as a stability test.")
print("Usage: python SampleDecodeMultiThread.py $gpu_id $input $num_threads")
if len(sys.argv) < 4:
print("Provide input CLI arguments as shown above")
exit(1)
gpu_id = int(sys.argv[1])
input_file = sys.argv[2]
num_threads = int(sys.argv[3])
create_threads(gpu_id, input_file, num_threads)