69 lines
1.9 KiB
YAML
69 lines
1.9 KiB
YAML
|
name: video_process
|
||
|
|
suffix: ~ # add suffix to saved images
|
||
|
|
model: extensibletrainer
|
||
|
|
scale: 4
|
||
|
|
gpu_ids: [0]
|
||
|
|
fp16: true
|
||
|
|
minivid_crf: 12 # Defines the 'crf' output video quality parameter fed to FFMPEG
|
||
|
|
frames_per_mini_vid: 360 # How many frames to process before generating a small video segment. Used to reduce number of images you must store to convert an entire video.
|
||
|
|
minivid_start_no: 360
|
||
|
|
recurrent_mode: false
|
||
|
|
|
||
|
|
dataset:
|
||
|
|
n_workers: 1
|
||
|
|
name: myvideo
|
||
|
|
video_file: <your path> # <-- Path to your video file here. any format supported by ffmpeg works.
|
||
|
|
frame_rate: 30 # Set to the frame rate of your video.
|
||
|
|
start_at_seconds: 0 # Set this if you want to start somewhere other than the beginning of the video.
|
||
|
|
end_at_seconds: 5000 # Set to the time you want to stop at.
|
||
|
|
batch_size: 1 # Set to the number of frames to convert at once. Larger batches provide a modest performance increase.
|
||
|
|
vertical_splits: 1 # Used for 3d binocular videos. Leave at 1.
|
||
|
|
force_multiple: 1
|
||
|
|
|
||
|
|
#### network structures
|
||
|
|
networks:
|
||
|
|
generator:
|
||
|
|
type: generator
|
||
|
|
which_model_G: RRDBNet
|
||
|
|
in_nc: 3
|
||
|
|
out_nc: 3
|
||
|
|
initial_stride: 1
|
||
|
|
nf: 64
|
||
|
|
nb: 23
|
||
|
|
scale: 4
|
||
|
|
blocks_per_checkpoint: 3
|
||
|
|
|
||
|
|
#### path
|
||
|
|
path:
|
||
|
|
pretrain_model_generator: <your path> # <-- Set your generator path here.
|
||
|
|
|
||
|
|
steps:
|
||
|
|
generator:
|
||
|
|
training: generator
|
||
|
|
generator: generator
|
||
|
|
|
||
|
|
# Optimizer params. Not used, but currently required to initialize ExtensibleTrainer, even in eval mode.
|
||
|
|
lr: !!float 5e-6
|
||
|
|
weight_decay: 0
|
||
|
|
beta1: 0.9
|
||
|
|
beta2: 0.99
|
||
|
|
|
||
|
|
injectors:
|
||
|
|
gen_inj:
|
||
|
|
type: generator
|
||
|
|
generator: generator
|
||
|
|
in: lq
|
||
|
|
out: gen
|
||
|
|
|
||
|
|
# Train section is required, even though we are just evaluating.
|
||
|
|
train:
|
||
|
|
niter: 500000
|
||
|
|
warmup_iter: -1
|
||
|
|
mega_batch_factor: 1
|
||
|
|
val_freq: 500
|
||
|
|
default_lr_scheme: MultiStepLR
|
||
|
|
gen_lr_steps: [20000, 40000, 80000, 100000, 140000, 180000]
|
||
|
|
lr_gamma: 0.5
|
||
|
|
|
||
|
|
eval:
|
||
|
|
output_state: gen
|