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with 208 additions and 96 deletions
.gitattributes
View file @ 98b5d1ad
......@@ -11,3 +11,7 @@
*.pb filter=lfs diff=lfs merge=lfs -text
*.data-* filter=lfs diff=lfs merge=lfs -text
*.pt filter=lfs diff=lfs merge=lfs -text
models/nnlf_lop4_model_int16.sadl filter=lfs diff=lfs merge=lfs -text
models/nnlf_vlop3_model_int16.sadl filter=lfs diff=lfs merge=lfs -text
models/nnlf_lop4_model_float.sadl filter=lfs diff=lfs merge=lfs -text
models/nnlf_vlop3_model_float.sadl filter=lfs diff=lfs merge=lfs -text
.gitlab-ci.yml
View file @ 98b5d1ad
......@@ -33,6 +33,11 @@ build_macos:
tags:
- macos
build_macos_arm:
extends: .build_template
tags:
- macos-arm
build_ubuntu2004:
extends: .build_template_linux
tags:
......@@ -55,6 +60,13 @@ build_vc192x:
flake8:
stage: static-analysis
only:
refs:
- VTM-11.0_nnvc
- merge_requests
variables:
- $CI_PROJECT_URL == 'https://vcgit.hhi.fraunhofer.de/jvet-ahg-nnvc/VVCSoftware_VTM'
- $CI_MERGE_REQUEST_TARGET_BRANCH_NAME == 'VTM-11.0_nnvc'
script:
- flake8 --version
- flake8 training
......
Makefile
View file @ 98b5d1ad
......@@ -18,7 +18,7 @@ BUILD_SCRIPT := $(CURDIR)/cmake/CMakeBuild/bin/cmake.py
TARGETS := CommonLib DecoderAnalyserApp DecoderAnalyserLib DecoderApp DecoderLib
TARGETS += EncoderApp EncoderLib Utilities SEIRemovalApp StreamMergeApp
SADL_HASH := "46a16e25178eb5e57d6aa57dfc76cd465f530e66" # hard coded because of windows $(shell git submodule status | grep sadl | cut -d' ' -f2)
SADL_HASH := "ffcfb6a6" # hard coded because of windows $(shell git submodule status | grep sadl | cut -d' ' -f2)
ifeq ($(OS),Windows_NT)
ifneq ($(MSYSTEM),)
......
README.md
View file @ 98b5d1ad
......@@ -31,6 +31,16 @@ git submodule init
git submodule update
```
LFS
----------------------------------------------
The models used by the different tools are stored using LFS to avoid bloating the git repository. For this reason, you need to install git LFS in order to get the models associated with each commits. To get all the models in cache, you can use the following command:
```bash
git lfs fetch --all
```
Platform
----------------------------------------------
The CMake tool is used to create platform-specific build files.
Although CMake may be able to generate 32-bit binaries, **it is generally suggested to build 64-bit binaries**. 32-bit binaries are not able to access more than 2GB of RAM, which will not be sufficient for coding larger image formats. Building in 32-bit environments is not tested and will not be supported.
......@@ -217,6 +227,16 @@ An array of one element is described:
- qp\_base: QP base to encode the sequence
Training/dataset instructions
==================
Please refer to the readme in each individual tools for the dataset creation and training process.
The following sections are legacy information.
Data dumping (legacy)
==================
Build the database
----------------------------------------------
The database building is done in 2 passes.
......@@ -344,14 +364,6 @@ p = dl.getPatchData(42,comps,border_size)
# p now contains the 42th patches in the database
```
On the fly loading
----------------------------------------------
Call getPatchData on random index to create a batch of data.
Pro: do not use more disk space because data is created on the fly from original dataset.
Cons: slower to generate a batch. The loading function should be put in an async funciton to avoid I/O latency.
Offline loading
----------------------------------------------
......@@ -389,6 +401,48 @@ HOP NN loop-filter
------------------
In order to use the HOP loop-filter, just change the NnlfModelName parameter to point to the HOP model (see cfg\/nn\_based/HOP.cfg file for an example).
Adaptive NN loop-filter
------------------
The latest version of the adaptive NN loop-filter is on top of LOP4. It has been previously tested with other filters,
such LOP2, LOP3 and VLOP.
When the adaptive NN loop-filter is used, the encoding must be done in split mode. Additional encoder configuration
parameters are need:
* to enable the Neural Network Filter Update (NNFU) APS, which carries the NNR/NNC bitstream that adapts the base
loop-filter, and
* to specify the adaptive NN loop-filter SADL model.
A sample configuration file is available in `cfg/nn-based/adaptive-lop4.cfg` and shown below:
```
NnfuEnabled : 1
NumNnfus : 1
NnfuPayloadFileName0 : /src/models/adaptive_lop4/nnr/<sequence>_<qp>_<ra_segment>.nnr
NnfuModelFileName0 : /src/models/adaptive_lop4/nnr_<sequence>_<qp>_<ra_segment>.sadl
```
`NnfuEnabled`: set to 1, to enable the signalling of the NNFU APS.
`NumNnfus`: set to 1, as one NNFU APS is signalled per RA segment.
`NnfuPayloadFileName0`: Path to the NNR/NNC bitstream. There is one for each sequence-qp-RAsegment.
`NnfuModelFileName0`: Adaptive SADL NN loop-filter. There is one for each sequence-qp-RAsegment.
After a RA segment of a sequence-QP pair has been encoded using the respective adaptive NN loop-filter, a
decision is performed to determine whether this segment or the one encoded with the anchor configuration
(i.e., with the NN loop-filter) is better in terms of delta PSNR. Therefore, a final merged bitstream may include some
RA segments filtered with the original (base) NN loop-filter and some RA segments filtered with the adaptive
NN loop-filter. For that purpose, once all segments of a sequence-qp are encoded, use the script
`training/training_scripts/NN_Adaptive_Filtering/segment_on_off.py` to generate the final merged bitstream.
At the decoder, the NNR/NNC bitstream is decoded and along the base NN loop-filter are used to regenerate the
adaptive SADL NN loop-filter. Two parameters must be specified:
* `--NnlfArch=<arch>` : base NN loop-filter architecture. lop4 is the value by default.
* `--NnfuOutputFileStem=</path/to/output/stem>` : Absolute path stem to save NNR/NNC bitstream and adaptive SADL NN loop-filter model.
Legacy NN-based loop filter
==================
......
cfg/encoder_intra_nnvc.cfg
View file @ 98b5d1ad
......@@ -109,7 +109,7 @@ FastMIP : 1
FastLFNST : 1
NnIntraPred : 1
NnlfOption : 1
NnlfOption : 3
# Encoder optimization tools
AffineAmvrEncOpt : 0
......
cfg/encoder_lowdelay_P_nnvc.cfg
View file @ 98b5d1ad
......@@ -135,7 +135,10 @@ FastMIP : 0
FastLocalDualTreeMode : 2
NnIntraPred : 1
NnlfOption : 1
NnlfOption : 3
# NNVC Decoder optimization tools
NnlfTdo : 0 # Adaptive skip of NNLF (HOP, LOP, VLOP)
NnlfTdoLambda : 2000 2300 7800 17000 38000 55000 # Lambda values for different Slice QP ranges
# Encoder optimization tools
AffineAmvrEncOpt : 0
......
cfg/encoder_lowdelay_nnvc.cfg
View file @ 98b5d1ad
......@@ -17,14 +17,14 @@ GOPSize : 8 # GOP Size (number of B slice = GOPS
IntraQPOffset : -1
LambdaFromQpEnable : 1 # see JCTVC-X0038 for suitable parameters for IntraQPOffset, QPoffset, QPOffsetModelOff, QPOffsetModelScale when enabled
# Type POC QPoffset QPOffsetModelOff QPOffsetModelScale CbQPoffset CrQPoffset QPfactor tcOffsetDiv2 betaOffsetDiv2 CbTcOffsetDiv2 CbBetaOffsetDiv2 CrTcOffsetDiv2 CrBetaOffsetDiv2 temporal_id #ref_pics_active_L0 #ref_pics_L0 reference_pictures_L0 #ref_pics_active_L1 #ref_pics_L1 reference_pictures_L1
Frame1: B 1 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 9 17 25 4 4 1 9 17 25
Frame2: B 2 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 2 10 18 4 4 1 2 10 18
Frame3: B 3 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 3 11 19 4 4 1 3 11 19
Frame4: B 4 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 4 12 20 4 4 1 4 12 20
Frame5: B 5 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 5 13 21 4 4 1 5 13 21
Frame6: B 6 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 6 14 22 4 4 1 6 14 22
Frame7: B 7 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 7 15 23 4 4 1 7 15 23
Frame8: B 8 1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 4 4 1 8 16 24 4 4 1 8 16 24
Frame1: B 1 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 9 17 25 4 4 1 3 5 33
Frame2: B 2 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 2 10 18 4 4 1 2 4 26
Frame3: B 3 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 3 11 19 4 4 1 3 5 27
Frame4: B 4 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 4 12 20 4 4 1 2 4 28
Frame5: B 5 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 5 13 21 4 4 1 3 5 29
Frame6: B 6 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 6 14 22 4 4 1 2 6 30
Frame7: B 7 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 7 15 23 4 4 1 3 7 31
Frame8: B 8 1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 4 4 1 8 16 24 4 4 1 2 4 32
#=========== Motion Search =============
FastSearch : 1 # 0:Full search 1:TZ search
......@@ -139,7 +139,10 @@ FastMIP : 0
FastLocalDualTreeMode : 2
NnIntraPred : 1
NnlfOption : 1
NnlfOption : 3
# NNVC Decoder optimization tools
NnlfTdo : 0 # Adaptive skip of NNLF (HOP, LOP, VLOP)
NnlfTdoLambda : 2000 2300 7800 17000 38000 55000 # Lambda values for different Slice QP ranges
# Encoder optimization tools
AffineAmvrEncOpt : 0
......
cfg/encoder_lowdelay_vtm.cfg
View file @ 98b5d1ad
......@@ -17,14 +17,14 @@ GOPSize : 8 # GOP Size (number of B slice = GOPS
IntraQPOffset : -1
LambdaFromQpEnable : 1 # see JCTVC-X0038 for suitable parameters for IntraQPOffset, QPoffset, QPOffsetModelOff, QPOffsetModelScale when enabled
# Type POC QPoffset QPOffsetModelOff QPOffsetModelScale CbQPoffset CrQPoffset QPfactor tcOffsetDiv2 betaOffsetDiv2 CbTcOffsetDiv2 CbBetaOffsetDiv2 CrTcOffsetDiv2 CrBetaOffsetDiv2 temporal_id #ref_pics_active_L0 #ref_pics_L0 reference_pictures_L0 #ref_pics_active_L1 #ref_pics_L1 reference_pictures_L1
Frame1: B 1 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 9 17 25 4 4 1 9 17 25
Frame2: B 2 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 2 10 18 4 4 1 2 10 18
Frame3: B 3 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 3 11 19 4 4 1 3 11 19
Frame4: B 4 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 4 12 20 4 4 1 4 12 20
Frame5: B 5 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 5 13 21 4 4 1 5 13 21
Frame6: B 6 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 6 14 22 4 4 1 6 14 22
Frame7: B 7 5 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 7 15 23 4 4 1 7 15 23
Frame8: B 8 1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 4 4 1 8 16 24 4 4 1 8 16 24
Frame1: B 1 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 9 17 25 4 4 1 3 5 33
Frame2: B 2 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 2 10 18 4 4 1 2 4 26
Frame3: B 3 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 3 11 19 4 4 1 3 5 27
Frame4: B 4 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 4 12 20 4 4 1 2 4 28
Frame5: B 5 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 5 13 21 4 4 1 3 5 29
Frame6: B 6 4 -6.5 0.2590 0 0 1.0 0 0 0 0 0 0 0 4 4 1 6 14 22 4 4 1 2 6 30
Frame7: B 7 6 -6.5 0.2450 0 0 1.0 0 0 0 0 0 0 0 4 4 1 7 15 23 4 4 1 3 7 31
Frame8: B 8 1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 4 4 1 8 16 24 4 4 1 2 4 32
#=========== Motion Search =============
FastSearch : 1 # 0:Full search 1:TZ search
......
cfg/encoder_randomaccess_nnvc.cfg
View file @ 98b5d1ad
......@@ -17,38 +17,39 @@ GOPSize : 32 # GOP Size (number of B slice = GOPS
IntraQPOffset : -3
LambdaFromQpEnable : 1 # see JCTVC-X0038 for suitable parameters for IntraQPOffset, QPoffset, QPOffsetModelOff, QPOffsetModelScale when enabled
# Type POC QPoffset QPOffsetModelOff QPOffsetModelScale CbQPoffset CrQPoffset QPfactor tcOffsetDiv2 betaOffsetDiv2 CbTcOffsetDiv2 CbBetaOffsetDiv2 CrTcOffsetDiv2 CrBetaOffsetDiv2 temporal_id #ref_pics_active_L0 #ref_pics_L0 reference_pictures_L0 #ref_pics_active_L1 #ref_pics_L1 reference_pictures_L1
Frame1 : B 32 -1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 2 3 32 48 64 2 2 32 48
Frame2 : B 16 0 -4.9309 0.2265 0 0 1.0 0 0 0 0 0 0 1 2 2 16 32 2 2 -16 16
Frame3 : B 8 0 -4.5000 0.2353 0 0 1.0 0 0 0 0 0 0 2 2 2 8 24 2 2 -8 -24
Frame4 : B 4 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 2 4 20 2 3 -4 -12 -28
Frame5 : B 2 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 18 2 4 -2 -6 -14 -30
Frame6 : B 1 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 -1 2 5 -1 -3 -7 -15 -31
Frame7 : B 3 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 3 2 4 -1 -5 -13 -29
Frame8 : B 6 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 6 2 3 -2 -10 -26
Frame9 : B 5 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 5 2 4 -1 -3 -11 -27
Frame10 : B 7 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 7 2 3 -1 -9 -25
Frame11 : B 12 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 2 4 12 2 2 -4 -20
Frame12 : B 10 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 10 2 3 -2 -6 -22
Frame13 : B 9 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 9 2 4 -1 -3 -7 -23
Frame14 : B 11 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 11 2 3 -1 -5 -21
Frame15 : B 14 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 6 14 2 2 -2 -18
Frame16 : B 13 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 13 2 3 -1 -3 -19
Frame17 : B 15 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 15 2 2 -1 -17
Frame18 : B 24 0 -4.5000 0.2353 0 0 1.0 0 0 0 0 0 0 2 2 2 8 24 2 2 -8 8
Frame19 : B 20 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 2 4 20 2 2 -4 -12
Frame20 : B 18 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 18 2 3 -2 -6 -14
Frame21 : B 17 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 17 2 4 -1 -3 -7 -15
Frame22 : B 19 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 19 2 3 -1 -5 -13
Frame23 : B 22 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 6 22 2 2 -2 -10
Frame24 : B 21 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 21 2 3 -1 -3 -11
Frame25 : B 23 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 23 2 2 -1 -9
Frame26 : B 28 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 3 4 12 28 2 2 -4 4
Frame27 : B 26 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 10 26 2 2 -2 -6
Frame28 : B 25 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 9 25 2 3 -1 -3 -7
Frame29 : B 27 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 11 27 2 2 -1 -5
Frame30 : B 30 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 14 30 2 2 -2 2
Frame31 : B 29 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 13 29 2 2 -1 -3
Frame32 : B 31 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 15 31 2 2 -1 1
Frame1 : B 32 -1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 2 5 32 64 48 40 36 1 2 32 48
Frame2 : B 16 0 -4.9309 0.2265 0 0 1.0 0 0 0 0 0 0 1 3 5 16 32 48 24 20 1 1 -16
Frame3 : B 8 1 -4.5000 0.1900 0 0 1.0 0 0 0 0 0 0 2 4 5 8 24 16 40 12 2 2 -8 -24
Frame4 : B 4 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 3 3 4 8 20 3 3 -4 -12 -28
Frame5 : B 2 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 6 18 4 4 -2 -6 -14 -30
Frame6 : B 1 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 1 1 1 2 5 -1 -3 -7 -15 -31
Frame7 : B 3 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 3 2 4 -1 -5 -13 -29
Frame8 : B 6 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 4 6 3 3 -2 -10 -26
Frame9 : B 5 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 5 2 4 -1 -3 -11 -27
Frame10 : B 7 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 7 2 3 -1 -9 -25
Frame11 : B 12 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 3 4 4 8 12 6 2 2 -4 -20
Frame12 : B 10 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 4 6 10 3 3 -2 -6 -22
Frame13 : B 9 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 9 2 4 -1 -3 -7 -23
Frame14 : B 11 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 11 2 3 -1 -5 -21
Frame15 : B 14 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 4 6 14 2 2 -2 -18
Frame16 : B 13 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 13 2 3 -1 -3 -19
Frame17 : B 15 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 15 2 2 -1 -17
Frame18 : B 24 1 -4.5000 0.1900 0 0 1.0 0 0 0 0 0 0 2 3 3 8 16 24 1 1 -8
Frame19 : B 20 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 3 3 4 12 20 2 2 -4 -12
Frame20 : B 18 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 10 18 3 3 -2 -6 -14
Frame21 : B 17 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 9 17 2 4 -1 -3 -7 -15
Frame22 : B 19 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 19 2 3 -1 -5 -13
Frame23 : B 22 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 6 22 3 3 -2 -10 4
Frame24 : B 21 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 21 2 3 -1 -3 -11
Frame25 : B 23 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 23 2 2 -1 -9
Frame26 : B 28 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 4 4 4 8 12 28 1 1 -4
Frame27 : B 26 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 6 10 26 2 2 -2 -6
Frame28 : B 25 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 5 9 25 2 3 -1 -3 -7
Frame29 : B 27 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 11 27 2 2 -1 -5
Frame30 : B 30 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 6 14 30 1 1 -2
Frame31 : B 29 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 5 13 29 2 2 -1 -3
Frame32 : B 31 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 5 1 3 7 15 31 1 1 -1
#=========== Motion Search =============
FastSearch : 1 # 0:Full search 1:TZ search
......@@ -164,7 +165,10 @@ FastLocalDualTreeMode : 1
ChromaTS : 1
NnIntraPred : 1
NnlfOption : 1
NnlfOption : 3
# NNVC Decoder optimization tools
NnlfTdo : 0 # Adaptive skip of NNLF (HOP, LOP, VLOP)
NnlfTdoLambda : 2000 2300 7800 17000 38000 55000 # Lambda values for different Slice QP ranges
# Encoder optimization tools
AffineAmvrEncOpt : 1
......
cfg/encoder_randomaccess_nnvc_gop16.cfg
View file @ 98b5d1ad
......@@ -148,7 +148,10 @@ FastLocalDualTreeMode : 1
ChromaTS : 1
NnIntraPred : 1
NnlfOption : 1
NnlfOption : 3
# NNVC Decoder optimization tools
NnlfTdo : 0 # Adaptive skip of NNLF (HOP, LOP, VLOP)
NnlfTdoLambda : 2000 2300 7800 17000 38000 55000 # Lambda values for different Slice QP ranges
# Encoder optimization tools
AffineAmvrEncOpt : 1
......
cfg/encoder_randomaccess_vtm.cfg
View file @ 98b5d1ad
......@@ -17,38 +17,38 @@ GOPSize : 32 # GOP Size (number of B slice = GOPS
IntraQPOffset : -3
LambdaFromQpEnable : 1 # see JCTVC-X0038 for suitable parameters for IntraQPOffset, QPoffset, QPOffsetModelOff, QPOffsetModelScale when enabled
# Type POC QPoffset QPOffsetModelOff QPOffsetModelScale CbQPoffset CrQPoffset QPfactor tcOffsetDiv2 betaOffsetDiv2 CbTcOffsetDiv2 CbBetaOffsetDiv2 CrTcOffsetDiv2 CrBetaOffsetDiv2 temporal_id #ref_pics_active_L0 #ref_pics_L0 reference_pictures_L0 #ref_pics_active_L1 #ref_pics_L1 reference_pictures_L1
Frame1 : B 32 -1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 2 3 32 48 64 2 2 32 48
Frame2 : B 16 0 -4.9309 0.2265 0 0 1.0 0 0 0 0 0 0 1 2 2 16 32 2 2 -16 16
Frame3 : B 8 0 -4.5000 0.2353 0 0 1.0 0 0 0 0 0 0 2 2 2 8 24 2 2 -8 -24
Frame4 : B 4 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 2 4 20 2 3 -4 -12 -28
Frame5 : B 2 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 18 2 4 -2 -6 -14 -30
Frame6 : B 1 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 -1 2 5 -1 -3 -7 -15 -31
Frame7 : B 3 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 3 2 4 -1 -5 -13 -29
Frame8 : B 6 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 6 2 3 -2 -10 -26
Frame9 : B 5 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 5 2 4 -1 -3 -11 -27
Frame10 : B 7 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 7 2 3 -1 -9 -25
Frame11 : B 12 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 2 4 12 2 2 -4 -20
Frame12 : B 10 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 10 2 3 -2 -6 -22
Frame13 : B 9 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 9 2 4 -1 -3 -7 -23
Frame14 : B 11 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 11 2 3 -1 -5 -21
Frame15 : B 14 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 6 14 2 2 -2 -18
Frame16 : B 13 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 13 2 3 -1 -3 -19
Frame17 : B 15 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 15 2 2 -1 -17
Frame18 : B 24 0 -4.5000 0.2353 0 0 1.0 0 0 0 0 0 0 2 2 2 8 24 2 2 -8 8
Frame19 : B 20 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 2 4 20 2 2 -4 -12
Frame20 : B 18 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 2 2 18 2 3 -2 -6 -14
Frame21 : B 17 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 17 2 4 -1 -3 -7 -15
Frame22 : B 19 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 19 2 3 -1 -5 -13
Frame23 : B 22 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 6 22 2 2 -2 -10
Frame24 : B 21 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 21 2 3 -1 -3 -11
Frame25 : B 23 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 23 2 2 -1 -9
Frame26 : B 28 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 2 3 4 12 28 2 2 -4 4
Frame27 : B 26 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 10 26 2 2 -2 -6
Frame28 : B 25 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 9 25 2 3 -1 -3 -7
Frame29 : B 27 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 11 27 2 2 -1 -5
Frame30 : B 30 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 2 3 2 14 30 2 2 -2 2
Frame31 : B 29 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 13 29 2 2 -1 -3
Frame32 : B 31 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 15 31 2 2 -1 1
Frame1 : B 32 -1 0.0 0.0 0 0 1.0 0 0 0 0 0 0 0 2 5 32 64 48 40 36 1 2 32 48
Frame2 : B 16 0 -4.9309 0.2265 0 0 1.0 0 0 0 0 0 0 1 3 5 16 32 48 24 20 1 1 -16
Frame3 : B 8 1 -4.5000 0.1900 0 0 1.0 0 0 0 0 0 0 2 4 5 8 24 16 40 12 2 2 -8 -24
Frame4 : B 4 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 3 3 4 8 20 3 3 -4 -12 -28
Frame5 : B 2 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 6 18 4 4 -2 -6 -14 -30
Frame6 : B 1 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 1 1 1 2 5 -1 -3 -7 -15 -31
Frame7 : B 3 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 3 2 4 -1 -5 -13 -29
Frame8 : B 6 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 4 6 3 3 -2 -10 -26
Frame9 : B 5 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 2 1 5 2 4 -1 -3 -11 -27
Frame10 : B 7 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 7 2 3 -1 -9 -25
Frame11 : B 12 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 3 4 4 8 12 6 2 2 -4 -20
Frame12 : B 10 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 4 6 10 3 3 -2 -6 -22
Frame13 : B 9 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 9 2 4 -1 -3 -7 -23
Frame14 : B 11 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 11 2 3 -1 -5 -21
Frame15 : B 14 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 4 6 14 2 2 -2 -18
Frame16 : B 13 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 13 2 3 -1 -3 -19
Frame17 : B 15 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 15 2 2 -1 -17
Frame18 : B 24 1 -4.5000 0.1900 0 0 1.0 0 0 0 0 0 0 2 3 3 8 16 24 1 1 -8
Frame19 : B 20 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 3 3 4 12 20 2 2 -4 -12
Frame20 : B 18 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 10 18 3 3 -2 -6 -14
Frame21 : B 17 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 9 17 2 4 -1 -3 -7 -15
Frame22 : B 19 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 3 19 2 3 -1 -5 -13
Frame23 : B 22 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 3 3 2 6 22 3 3 -2 -10 4
Frame24 : B 21 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 3 1 5 21 2 3 -1 -3 -11
Frame25 : B 23 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 7 23 2 2 -1 -9
Frame26 : B 28 3 -5.4095 0.2571 0 0 1.0 0 0 0 0 0 0 3 4 4 4 8 12 28 1 1 -4
Frame27 : B 26 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 6 10 26 2 2 -2 -6
Frame28 : B 25 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 5 9 25 2 3 -1 -3 -7
Frame29 : B 27 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 3 11 27 2 2 -1 -5
Frame30 : B 30 5 -4.4895 0.1947 0 0 1.0 0 0 0 0 0 0 4 4 4 2 6 14 30 1 1 -2
Frame31 : B 29 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 4 1 5 13 29 2 2 -1 -3
Frame32 : B 31 6 -5.4429 0.2429 0 0 1.0 0 0 0 0 0 0 5 2 5 1 3 7 15 31 1 1 -1
#=========== Motion Search =============
FastSearch : 1 # 0:Full search 1:TZ search
......
cfg/nn-based/HOP.cfg
View file @ 98b5d1ad
......@@ -2,4 +2,4 @@ NnlfOption : 1
NnlfModelName : models/nnlf_hop3_model_int16.sadl
CbQpOffset : 1
CrQpOffset : 1
NnlfTransInput : 0
cfg/nn-based/HOP4.cfg 0 → 100644
View file @ 98b5d1ad
NnlfOption : 4
NnlfModelName : models/nnlf_hop4_model_int16.sadl
CbQpOffset : 1
CrQpOffset : 1
cfg/nn-based/HOP5.cfg 0 → 100644
View file @ 98b5d1ad
NnlfOption : 5
NnlfModelName : models/nnlf_hop5_model_int16.sadl
CbQpOffset : 1
CrQpOffset : 1
cfg/nn-based/adaptive_lop4.cfg 0 → 100644
View file @ 98b5d1ad
NnfuEnabled : 1
NumNnfus : 1
NnfuPayloadFileName0 : /src/models/adaptive_lop4/nnr/<sequence>_<qp>_<ra_segment>.nnr
NnfuModelFileName0 : /src/models/adaptive_lop4/nnr_<sequence>_<qp>_<ra_segment>.sadl
cfg/nn-based/nnsr/nnsr.cfg
View file @ 98b5d1ad
RPR : 1
NnsrOption : 1
NnsrModelName : models/super_resolution/NNVC_SR_multiratio_wavelet_int16.sadl
cfg/nn-based/nnsr/nnsr_classA_multiRatio.cfg 0 → 100644
View file @ 98b5d1ad
ScalingRatioHor : 2.0
ScalingRatioVer : 2.0
ScalingRatioHor2 : 1.5
ScalingRatioVer2 : 1.5
FractionNumFrames : 1.0
UpscaledOutput : 2
cfg/nn-based/nnsr/nnsr_classA_singleRatio.cfg 0 → 100644
View file @ 98b5d1ad
ScalingRatioHor : 2.0
ScalingRatioVer : 2.0
ScalingRatioHor2 : 2.0
ScalingRatioVer2 : 2.0
FractionNumFrames : 1.0
UpscaledOutput : 2
cfg/nn-based/nnsr/rpr.cfg
View file @ 98b5d1ad
RPR: 1
NnsrOption : 1
NnsrModelName : default_rpr
cfg/nn-based/vlop.cfg
View file @ 98b5d1ad
NnlfOption : 1
NnlfModelName : models/nnlf_vlop_model_int16.sadl
NnlfTransInput : 0