Sparks_in_Blender_encode.py

@@ -14,10 +14,8 @@ from collections import OrderedDict
 
 import json
 
-from typing import Union, Any
-
 # encoding options used
-encoding: dict[str, Any] = {
+encoding = {
     "libx264": {
         "crf": [10, 14, 16, 18, 20, 22, 25],
         "presets": [
@@ -59,8 +57,8 @@ def now():
 
 def write_line(
     codec: str,
-    crf: int,
+    crf: str,
-    preset: Union[str, int],
+    preset: str,
     infile: str,
     outfilesize: float,
     enctime: int,
@@ -72,8 +70,8 @@ def write_line(
 
     Parameters:
         codec (str): Codec used
-        crf (int): CRF used
+        crf (str): CRF used
-        preset (str/int): Preset used
+        preset (str): Preset used
         infile (str): Input file name
         outfilesize (float): Size of output file
         enctime (int): Time to encode
@@ -96,89 +94,6 @@ def write_line(
         )
 
 
-def encode_general(
-    inputfile: str, outputfile: str, codec: str, crf: int, preset: Union[str, int]
-):
-    """
-    General encoding function
-
-    Parameters:
-    inputfile (str): Path to input file
-    outputfile (str): Path to output file
-    codec (str): Codec used
-    crf (int): CRF value
-    preset (str/int): Choosen preset
-    """
-    ff = ffmpy.FFmpeg(
-        inputs={inputfile: None},
-        outputs={
-            outputfile: "-c:v {videocodec} -crf {crf} -preset {preset} -g 240 -map 0:v:0 ".format(
-                videocodec=codec,
-                crf=crf,
-                preset=preset,
-            )
-        },
-    )
-
-    return ff
-
-
-def encode_libaom(inputfile: str, outputfile: str, crf: int, preset: Union[str, int]):
-    """
-    Encoding with libaom
-
-    Parameters:
-    inputfile (str): Path to input file
-    outputfile (str): Path to output file
-    crf (int): CRF value
-    preset (str/int): Choosen preset
-    """
-    ff = ffmpy.FFmpeg(
-        inputs={inputfile: None},
-        outputs={
-            outputfile: "-c:v libaom-av1 -crf {crf} -b:v 0 -cpu-used {preset} -row-mt 1 -tiles 2x2 -g 240 -map 0:v:0 ".format(
-                crf=crf,
-                preset=preset,
-            )
-        },
-    )
-
-    return ff
-
-
-def score_vmaf(outputfile: str, inputfile: str) -> dict[str, float]:
-    """
-    Calculate a file's VMAF score
-
-    Parameters:
-    outputfile (str): Path to output file
-    inputfile (str): Path to input file
-
-    Return:
-    dict[str, float]: VMAF mean and min value
-    """
-    ff = ffmpy.FFmpeg(
-        inputs=OrderedDict([(outputfile, None), (inputfile, None)]),
-        outputs={
-            "-": "-filter_complex libvmaf=log_fmt=json:n_threads={cputhreads}:log_path=vmaf.json -f null".format(
-                cputhreads=cpu_count()
-            )
-        },
-    )
-
-    ff.run()
-
-    with open("vmaf.json", "r") as file:
-        vmafall = json.load(file)
-
-    vmaf: dict[str, float] = {
-        "mean": vmafall["pooled_metrics"]["vmaf"]["mean"],
-        "min": vmafall["pooled_metrics"]["vmaf"]["min"],
-    }
-
-    return vmaf
-
-
 if __name__ == "__main__":
     if not os.path.isdir("encoded"):
         os.mkdir("encoded")
@@ -200,8 +115,6 @@ if __name__ == "__main__":
             )
         )
 
-    inputfile = "Sparks_in_Blender.webm"
-
     for codec in encoding:
         for crf in encoding[codec]["crf"]:
             for preset in encoding[codec]["presets"]:
@@ -220,22 +133,28 @@ if __name__ == "__main__":
 
                 # libaom needs additional options
                 if codec == "libaom-av1":
-                    ff = encode_libaom(
+                    ff = ffmpy.FFmpeg(
-                        inputfile=inputfile,
+                        inputs={"Sparks_in_Blender.webm": None},
-                        outputfile=outputfile,
+                        outputs={
+                            outputfile: "-c:v {videocodec} -crf {crf} -b:v 0 -cpu-used {preset} -row-mt 1 -tiles 2x2 -g 240 -map 0:v:0 ".format(
+                                videocodec=codec,
                                 crf=crf,
                                 preset=preset,
                             )
+                        },
+                    )
                 else:
-                    ff = encode_general(
+                    ff = ffmpy.FFmpeg(
-                        inputfile=inputfile,
+                        inputs={"Sparks_in_Blender.webm": None},
-                        outputfile=outputfile,
+                        outputs={
-                        codec=codec,
+                            outputfile: "-c:v {videocodec} -crf {crf} -preset {preset} -g 240 -map 0:v:0 ".format(
+                                videocodec=codec,
                                 crf=crf,
                                 preset=preset,
                             )
+                        },
+                    )
 
-                # execute previously defined encoding settings
                 starttime = now()
                 ff.run()
                 endtime = now()
@@ -243,7 +162,21 @@ if __name__ == "__main__":
 
                 outputfilesize = os.path.getsize(outputfile) / 1024 / 1024
 
-                vmaf = score_vmaf(outputfile=outputfile, inputfile=inputfile)
+                ffvmaf = ffmpy.FFmpeg(
+                    inputs=OrderedDict(
+                        [(outputfile, None), ("Sparks_in_Blender.webm", None)]
+                    ),
+                    outputs={
+                        "-": "-filter_complex libvmaf=log_fmt=json:n_threads={cputhreads}:log_path=vmaf.json -f null".format(
+                            cputhreads=cpu_count()
+                        )
+                    },
+                )
+
+                ffvmaf.run()
+
+                with open("vmaf.json", "r") as file:
+                    vmaf = json.load(file)
 
                 write_line(
                     codec=codec,
@@ -252,8 +185,8 @@ if __name__ == "__main__":
                     infile="Sparks_in_Blender.webm",
                     outfilesize=outputfilesize,
                     enctime=difftime,
-                    vmafmean=vmaf["mean"],
+                    vmafmean=vmaf["pooled_metrics"]["vmaf"]["mean"],
-                    vmafmin=vmaf["min"],
+                    vmafmin=vmaf["pooled_metrics"]["vmaf"]["min"],
                 )
 
                 os.remove(outputfile)