Commit message: Added support for hardware accelerators in ffmpeg. #5
This commit is contained in:
4
app.py
4
app.py
@@ -37,8 +37,8 @@ with gr.Blocks() as demo:
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with gr.Row():
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gr.Markdown("# Refacer")
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with gr.Row():
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video=gr.Video(label="Original video")
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video2=gr.Video(label="Refaced video",interactive=False)
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video=gr.Video(label="Original video",format="mp4")
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video2=gr.Video(label="Refaced video",interactive=False,format="mp4")
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for i in range(0,num_faces):
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with gr.Tab(f"Face #{i+1}"):
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@@ -35,27 +35,14 @@
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"outputs": [],
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"source": [
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"!pip uninstall numpy -y -q\n",
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"!pip install numpy==1.24.3 onnxruntime-gpu gradio insightface ffmpeg_python opencv_python -q --force\n",
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"!pip install --disable-pip-version-check --root-user-action=ignore numpy==1.24.3 onnxruntime-gpu gradio insightface==0.7.3 ffmpeg_python opencv_python -q --force\n",
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"\n",
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"!git clone https://github.com/xaviviro/refacer.git\n",
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"%cd refacer\n",
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"\n",
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"!wget --content-disposition \"https://huggingface.co/deepinsight/inswapper/resolve/main/inswapper_128.onnx\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "0SsyI3quBb0L",
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"outputId": "56add1a6-6b47-429d-e07a-cf3fadc7a6ce"
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},
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"outputs": [],
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"source": [
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"!python app.py --share_gradio"
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"!wget --content-disposition \"https://huggingface.co/deepinsight/inswapper/resolve/main/inswapper_128.onnx\"\n",
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"\n",
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"!python app.py --share_gradio\n"
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]
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}
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],
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38
refacer.py
38
refacer.py
@@ -18,6 +18,8 @@ import psutil
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from enum import Enum
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from insightface.app.common import Face
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from insightface.utils.storage import ensure_available
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import re
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import subprocess
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class RefacerMode(Enum):
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CPU, CUDA, COREML, TENSORRT = range(1, 5)
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@@ -25,6 +27,7 @@ class RefacerMode(Enum):
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class Refacer:
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def __init__(self,force_cpu=False):
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self.force_cpu = force_cpu
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self.__check_encoders()
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self.__check_providers()
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self.total_mem = psutil.virtual_memory().total
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self.__init_apps()
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@@ -96,12 +99,14 @@ class Refacer:
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return replacements
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def __convert_video(self,video_path,output_video_path):
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print("Merging audio with the refaced video...")
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new_path = output_video_path + str(random.randint(0,999)) + "_c.mp4"
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#stream = ffmpeg.input(output_video_path)
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in1 = ffmpeg.input(output_video_path)
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in2 = ffmpeg.input(video_path)
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out = ffmpeg.output(in1.video, in2.audio, new_path,vcodec="libx264")
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out.run()
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out = ffmpeg.output(in1.video, in2.audio, new_path,vcodec=self.ffmpeg_video_encoder)
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out.run(overwrite_output=True,quiet=True)
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print(f"The process has finished.\nThe refaced video can be found at {os.path.abspath(new_path)}")
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return new_path
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def __get_faces(self,frame,max_num=0):
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@@ -120,7 +125,7 @@ class Refacer:
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face.embedding = self.rec_app.get(frame, kps)
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ret.append(face)
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return ret
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def __process_faces(self,frame):
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faces = self.__get_faces(frame)
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for face in faces:
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@@ -168,4 +173,29 @@ class Refacer:
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output.write(result)
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output.release()
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return self.__convert_video(video_path,output_video_path)
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return self.__convert_video(video_path,output_video_path)
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def __check_encoders(self):
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self.ffmpeg_video_encoder="libx264"
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pattern = r"encoders: ([a-zA-Z0-9_]+(?: [a-zA-Z0-9_]+)*)"
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command = ['ffmpeg', '-codecs', '--list-encoders']
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commandout = subprocess.run(command, check=True, capture_output=True).stdout
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result = commandout.decode('utf-8').split('\n')
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for r in result:
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if "264" in r:
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encoders = re.search(pattern, r).group(1).split(' ')
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#print(encoders)
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for v_c in Refacer.VIDEO_CODECS:
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if v_c in encoders:
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self.ffmpeg_video_encoder=v_c
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break
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print(f"Video codec for FFMPEG: {self.ffmpeg_video_encoder}")
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VIDEO_CODECS = [
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#'h264_videotoolbox', #osx HW acceleration
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'h264_nvenc', #NVIDIA HW acceleration
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#'h264_qsv', #Intel HW acceleration
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#'h264_vaapi', #Intel HW acceleration
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#'h264_omx', #HW acceleration
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'libx264', #No HW acceleration
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]
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