release infer and demo
This commit is contained in:
@@ -0,0 +1,47 @@
|
||||
defaults:
|
||||
- _self_
|
||||
- model: base
|
||||
- override hydra/job_logging: custom-no-rank.yaml
|
||||
|
||||
hydra:
|
||||
run:
|
||||
dir: ../output/${exp_id}/${dataset}
|
||||
output_subdir: ${now:%Y-%m-%d_%H-%M-%S}-hydra
|
||||
|
||||
amp: False
|
||||
weights: pretrained_models/matanyone2.pth # default (can be modified from outside)
|
||||
output_dir: null # defaults to run_dir; specify this to override
|
||||
flip_aug: False
|
||||
|
||||
|
||||
# maximum shortest side of the input; -1 means no resizing
|
||||
# With eval_vos.py, we usually just use the dataset's size (resizing done in dataloader)
|
||||
# this parameter is added for the sole purpose for the GUI in the current codebase
|
||||
# InferenceCore will downsize the input and restore the output to the original size if needed
|
||||
# if you are using this code for some other project, you can also utilize this parameter
|
||||
max_internal_size: -1
|
||||
|
||||
# these parameters, when set, override the dataset's default; useful for debugging
|
||||
save_all: True
|
||||
use_all_masks: False
|
||||
use_long_term: False
|
||||
mem_every: 5
|
||||
|
||||
# only relevant when long_term is not enabled
|
||||
max_mem_frames: 5
|
||||
|
||||
# only relevant when long_term is enabled
|
||||
long_term:
|
||||
count_usage: True
|
||||
max_mem_frames: 10
|
||||
min_mem_frames: 5
|
||||
num_prototypes: 128
|
||||
max_num_tokens: 10000
|
||||
buffer_tokens: 2000
|
||||
|
||||
top_k: 30
|
||||
stagger_updates: 5
|
||||
chunk_size: -1 # number of objects to process in parallel; -1 means unlimited
|
||||
save_scores: False
|
||||
save_aux: False
|
||||
visualize: False
|
||||
@@ -0,0 +1,22 @@
|
||||
# python logging configuration for tasks
|
||||
version: 1
|
||||
formatters:
|
||||
simple:
|
||||
format: '[%(asctime)s][%(levelname)s] - %(message)s'
|
||||
datefmt: '%Y-%m-%d %H:%M:%S'
|
||||
handlers:
|
||||
console:
|
||||
class: logging.StreamHandler
|
||||
formatter: simple
|
||||
stream: ext://sys.stdout
|
||||
file:
|
||||
class: logging.FileHandler
|
||||
formatter: simple
|
||||
# absolute file path
|
||||
filename: ${hydra.runtime.output_dir}/${now:%Y-%m-%d_%H-%M-%S}-eval.log
|
||||
mode: w
|
||||
root:
|
||||
level: INFO
|
||||
handlers: [console, file]
|
||||
|
||||
disable_existing_loggers: false
|
||||
@@ -0,0 +1,22 @@
|
||||
# python logging configuration for tasks
|
||||
version: 1
|
||||
formatters:
|
||||
simple:
|
||||
format: '[%(asctime)s][%(levelname)s][r${oc.env:LOCAL_RANK}] - %(message)s'
|
||||
datefmt: '%Y-%m-%d %H:%M:%S'
|
||||
handlers:
|
||||
console:
|
||||
class: logging.StreamHandler
|
||||
formatter: simple
|
||||
stream: ext://sys.stdout
|
||||
file:
|
||||
class: logging.FileHandler
|
||||
formatter: simple
|
||||
# absolute file path
|
||||
filename: ${hydra.runtime.output_dir}/${now:%Y-%m-%d_%H-%M-%S}-rank${oc.env:LOCAL_RANK}.log
|
||||
mode: w
|
||||
root:
|
||||
level: INFO
|
||||
handlers: [console, file]
|
||||
|
||||
disable_existing_loggers: false
|
||||
@@ -0,0 +1,58 @@
|
||||
pixel_mean: [0.485, 0.456, 0.406]
|
||||
pixel_std: [0.229, 0.224, 0.225]
|
||||
|
||||
pixel_dim: 256
|
||||
key_dim: 64
|
||||
value_dim: 256
|
||||
sensory_dim: 256
|
||||
embed_dim: 256
|
||||
|
||||
pixel_encoder:
|
||||
type: resnet50
|
||||
ms_dims: [1024, 512, 256, 64, 3] # f16, f8, f4, f2, f1
|
||||
|
||||
mask_encoder:
|
||||
type: resnet18
|
||||
final_dim: 256
|
||||
|
||||
pixel_pe_scale: 32
|
||||
pixel_pe_temperature: 128
|
||||
|
||||
object_transformer:
|
||||
embed_dim: ${model.embed_dim}
|
||||
ff_dim: 2048
|
||||
num_heads: 8
|
||||
num_blocks: 3
|
||||
num_queries: 16
|
||||
read_from_pixel:
|
||||
input_norm: False
|
||||
input_add_pe: False
|
||||
add_pe_to_qkv: [True, True, False]
|
||||
read_from_past:
|
||||
add_pe_to_qkv: [True, True, False]
|
||||
read_from_memory:
|
||||
add_pe_to_qkv: [True, True, False]
|
||||
read_from_query:
|
||||
add_pe_to_qkv: [True, True, False]
|
||||
output_norm: False
|
||||
query_self_attention:
|
||||
add_pe_to_qkv: [True, True, False]
|
||||
pixel_self_attention:
|
||||
add_pe_to_qkv: [True, True, False]
|
||||
|
||||
object_summarizer:
|
||||
embed_dim: ${model.object_transformer.embed_dim}
|
||||
num_summaries: ${model.object_transformer.num_queries}
|
||||
add_pe: True
|
||||
|
||||
aux_loss:
|
||||
sensory:
|
||||
enabled: True
|
||||
weight: 0.01
|
||||
query:
|
||||
enabled: True
|
||||
weight: 0.01
|
||||
|
||||
mask_decoder:
|
||||
# first value must equal embed_dim
|
||||
up_dims: [256, 128, 128, 64, 16]
|
||||
Reference in New Issue
Block a user