From fbebfdc7e67ca7fff824898d98267e273d7a93e1 Mon Sep 17 00:00:00 2001 From: Adam Hines Date: Tue, 12 Dec 2023 16:31:31 +1000 Subject: [PATCH 1/3] Complete restructure of the codebase to a more robust, programmatic style --- .gitignore | 26 ++-- dataset/event.csv | 160 --------------------- dataset/test/images-00202.png | Bin 321241 -> 0 bytes dataset/test/images-07028.png | Bin 255131 -> 0 bytes main.py | 17 ++- output/.gitkeep | 0 setup.py | 2 +- src/.DS_Store | Bin 6148 -> 0 bytes vprtempo/VPRTempo.py | 20 +-- vprtempo/VPRTempoQuant.py | 25 ++-- vprtempo/VPRTempoQuantTrain.py | 16 +-- vprtempo/VPRTempoTrain.py | 19 +-- vprtempo/__init__.py | 8 +- {dataset => vprtempo/dataset}/.DS_Store | Bin {dataset => vprtempo/dataset}/nordland.csv | 0 {dataset => vprtempo/dataset}/orc.csv | 0 {models => vprtempo/models}/.DS_Store | Bin {models => vprtempo/models}/.gitkeep | 0 {src => vprtempo/src}/blitnet.py | 0 {src => vprtempo/src}/dataset.py | 1 - {src => vprtempo/src}/loggers.py | 4 +- {src => vprtempo/src}/metrics.py | 0 {src => vprtempo/src}/nordland.py | 0 23 files changed, 53 insertions(+), 245 deletions(-) delete mode 100644 dataset/event.csv delete mode 100644 dataset/test/images-00202.png delete mode 100755 dataset/test/images-07028.png delete mode 100644 output/.gitkeep delete mode 100644 src/.DS_Store rename {dataset => vprtempo/dataset}/.DS_Store (100%) rename {dataset => vprtempo/dataset}/nordland.csv (100%) rename {dataset => vprtempo/dataset}/orc.csv (100%) rename {models => vprtempo/models}/.DS_Store (100%) rename {models => vprtempo/models}/.gitkeep (100%) rename {src => vprtempo/src}/blitnet.py (100%) rename {src => vprtempo/src}/dataset.py (99%) rename {src => vprtempo/src}/loggers.py (97%) rename {src => vprtempo/src}/metrics.py (100%) rename {src => vprtempo/src}/nordland.py (100%) diff --git a/.gitignore b/.gitignore index 6056764..9a70cc7 100644 --- a/.gitignore +++ b/.gitignore @@ -1,18 +1,10 @@ __pycache__/ -.ipynb_checkpoints/ -src/__pycache__/ -dataset/conv/ -dataset/Dusk/ -dataset/fall/ -dataset/model/ -dataset/output_database/ -dataset/output_query/ -dataset/Rain/ -dataset/spring/ -dataset/summer/ -dataset/Sun/ -dataset/winter/ -dataset/event.csv/ -models/VPRTempo78415685001.pth -models/VPRTempoQuant78415685001.pth -VPRTempo.egg-info/ +.pyest_cache/ +vprtempo/__pycache__/ +vprtempo/dataset/fall/ +vprtempo/dataset/spring/ +vprtempo/dataset/summer/ +vprtempo/dataset/winter/ +vprtempo/dataset/event.csv +vprtempo/output/ +vprtempo/src/__pycache__/ diff --git a/dataset/event.csv b/dataset/event.csv deleted file mode 100644 index d39b74a..0000000 --- a/dataset/event.csv +++ /dev/null @@ -1,160 +0,0 @@ -Image_names,Index -match_0245.png,0 -match_0247.png,1 -match_0248.png,2 -match_0249.png,3 -match_0250.png,4 -match_0251.png,5 -match_0253.png,6 -match_0256.png,7 -match_0329.png,8 -match_0332.png,9 -match_0333.png,10 -match_0334.png,11 -match_0337.png,12 -match_0338.png,13 -match_0345.png,14 -match_0346.png,15 -match_0347.png,16 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z&=TpUGgS0xD9uKR0M-SyJF@3N2Q4-y;z*t>+*o)iIqWeI&3%Pt~XPt+TL{cJx- zGLwjy!NrnKAbCmp62L$&a?v=ZFgS<2jB_Bm7!ypdUPuIAW z0(cN_f!QvddIn404!J-q_7wmtgXPRG`FC~wFUFV9i$R^$ops1zZ7FV6A|D9}>D^8nHGEpAI(R z2te#|I2il-v#6XTVj8hFHslD+e*}UI-narks=yaNrEoO> diff --git a/vprtempo/VPRTempo.py b/vprtempo/VPRTempo.py index 18f4d17..6a0a2f0 100644 --- a/vprtempo/VPRTempo.py +++ b/vprtempo/VPRTempo.py @@ -26,22 +26,16 @@ import os import torch -import gc -import sys -sys.path.append('./src') -sys.path.append('./models') -sys.path.append('./output') -sys.path.append('./dataset') - -import blitnet as bn + import numpy as np import torch.nn as nn +import vprtempo.src.blitnet as bn -from dataset import CustomImageDataset, ProcessImage -from torch.utils.data import DataLoader from tqdm import tqdm from prettytable import PrettyTable -from metrics import recallAtK +from torch.utils.data import DataLoader +from vprtempo.src.metrics import recallAtK +from vprtempo.src.dataset import CustomImageDataset, ProcessImage class VPRTempo(nn.Module): def __init__(self, dims, args=None, logger=None): @@ -60,7 +54,7 @@ def __init__(self, dims, args=None, logger=None): self.logger = logger # Set the dataset file - self.dataset_file = os.path.join('./dataset', self.dataset + '.csv') + self.dataset_file = os.path.join('./vprtempo/dataset', self.dataset + '.csv') # Layer dict to keep track of layer names and their order self.layer_dict = {} @@ -220,7 +214,7 @@ def run_inference(models, model_name): persistent_workers=True) # Load the model - models[0].load_model(models, os.path.join('./models', model_name)) + models[0].load_model(models, os.path.join('./vprtempo/models', model_name)) # Retrieve layer names for inference layer_names = list(models[0].layer_dict.keys()) diff --git a/vprtempo/VPRTempoQuant.py b/vprtempo/VPRTempoQuant.py index f616289..b667923 100644 --- a/vprtempo/VPRTempoQuant.py +++ b/vprtempo/VPRTempoQuant.py @@ -26,26 +26,17 @@ import os import torch -import subprocess -import sys -sys.path.append('./src') -sys.path.append('./models') -sys.path.append('./output') -sys.path.append('./dataset') - -import blitnet as bn + import numpy as np import torch.nn as nn -import torch.quantization as quantization +import vprtempo.src.blitnet as bn -from loggers import model_logger_quant -from VPRTempoQuantTrain import generate_model_name_quant -from dataset import CustomImageDataset, ProcessImage -from torch.utils.data import DataLoader -from torch.ao.quantization import QuantStub, DeQuantStub from tqdm import tqdm from prettytable import PrettyTable -from metrics import recallAtK +from torch.utils.data import DataLoader +from vprtempo.src.metrics import recallAtK +from torch.ao.quantization import QuantStub, DeQuantStub +from vprtempo.src.dataset import CustomImageDataset, ProcessImage #from main import parse_network @@ -59,7 +50,7 @@ def __init__(self, dims, args=None, logger=None): setattr(self, arg, getattr(args, arg)) setattr(self, 'dims', dims) # Set the dataset file - self.dataset_file = os.path.join('./dataset', self.dataset + '.csv') + self.dataset_file = os.path.join('./vprtempo/dataset', self.dataset + '.csv') # Set the model logger and return the device self.logger = logger @@ -240,7 +231,7 @@ def run_inference_quant(models, model_name, qconfig): persistent_workers=True) # Load the model - models[0].load_model(models, os.path.join('./models', model_name)) + models[0].load_model(models, os.path.join('./vprtempo/models', model_name)) # Use evaluate method for inference accuracy with torch.no_grad(): diff --git a/vprtempo/VPRTempoQuantTrain.py b/vprtempo/VPRTempoQuantTrain.py index 6c2448a..451420a 100644 --- a/vprtempo/VPRTempoQuantTrain.py +++ b/vprtempo/VPRTempoQuantTrain.py @@ -26,23 +26,17 @@ import os import torch -import gc -import sys -sys.path.append('./src') -sys.path.append('./models') -sys.path.append('./output') -sys.path.append('./dataset') -import blitnet as bn import numpy as np import torch.nn as nn +import vprtempo.src.blitnet as bn import torch.quantization as quantization import torchvision.transforms as transforms -from dataset import CustomImageDataset, ProcessImage +from tqdm import tqdm from torch.utils.data import DataLoader from torch.ao.quantization import QuantStub, DeQuantStub -from tqdm import tqdm +from vprtempo.src.dataset import CustomImageDataset, ProcessImage class VPRTempoQuantTrain(nn.Module): def __init__(self, args, dims, logger): @@ -61,7 +55,7 @@ def __init__(self, args, dims, logger): self.logger = logger # Set the dataset file - self.dataset_file = os.path.join('./dataset', self.dataset + '.csv') + self.dataset_file = os.path.join('./vprtempo/dataset', self.dataset + '.csv') # Add quantization stubs for Quantization Aware Training (QAT) self.quant = QuantStub() @@ -288,4 +282,4 @@ def train_new_model_quant(models, model_name, qconfig): # After training the current layer, add it to the list of trained layer # Save the model - model.save_model(trained_models,os.path.join('./models', model_name)) \ No newline at end of file + model.save_model(trained_models,os.path.join('./vprtempo/models', model_name)) \ No newline at end of file diff --git a/vprtempo/VPRTempoTrain.py b/vprtempo/VPRTempoTrain.py index 077ccf3..de3d449 100644 --- a/vprtempo/VPRTempoTrain.py +++ b/vprtempo/VPRTempoTrain.py @@ -25,23 +25,18 @@ ''' import os -import torch import gc -import sys -sys.path.append('./src') -sys.path.append('./models') -sys.path.append('./output') -sys.path.append('./dataset') +import torch -import blitnet as bn import numpy as np import torch.nn as nn +import vprtempo.src.blitnet as bn import torchvision.transforms as transforms -from loggers import model_logger -from dataset import CustomImageDataset, ProcessImage -from torch.utils.data import DataLoader from tqdm import tqdm +from torch.utils.data import DataLoader +from vprtempo.src.loggers import model_logger +from vprtempo.src.dataset import CustomImageDataset, ProcessImage class VPRTempoTrain(nn.Module): def __init__(self, args, dims, logger): @@ -59,7 +54,7 @@ def __init__(self, args, dims, logger): self.logger = logger # Set the dataset file - self.dataset_file = os.path.join('./dataset', self.dataset + '.csv') + self.dataset_file = os.path.join('./vprtempo/dataset', self.dataset + '.csv') # Layer dict to keep track of layer names and their order self.layer_dict = {} @@ -293,4 +288,4 @@ def train_new_model(models, model_name): for model in models: model.eval() # Save the model - model.save_model(models,os.path.join('./models', model_name)) \ No newline at end of file + model.save_model(models,os.path.join('./vprtempo/models', model_name)) \ No newline at end of file diff --git a/vprtempo/__init__.py b/vprtempo/__init__.py index 8aafc8b..d61c457 100644 --- a/vprtempo/__init__.py +++ b/vprtempo/__init__.py @@ -1,2 +1,6 @@ -from .VPRTempo import VPRTempo -from .VPRTempoQuantTrain import VPRTempoQuantTrain \ No newline at end of file +from . import dataset +from . import models +from . import output +from . import src + +__version__ = '1.1.3' \ No newline at end of file diff --git a/dataset/.DS_Store b/vprtempo/dataset/.DS_Store similarity index 100% rename from dataset/.DS_Store rename to vprtempo/dataset/.DS_Store diff --git a/dataset/nordland.csv b/vprtempo/dataset/nordland.csv similarity index 100% rename from dataset/nordland.csv rename to vprtempo/dataset/nordland.csv diff --git a/dataset/orc.csv b/vprtempo/dataset/orc.csv similarity index 100% rename from dataset/orc.csv rename to vprtempo/dataset/orc.csv diff --git a/models/.DS_Store b/vprtempo/models/.DS_Store similarity index 100% rename from models/.DS_Store rename to vprtempo/models/.DS_Store diff --git a/models/.gitkeep b/vprtempo/models/.gitkeep similarity index 100% rename from models/.gitkeep rename to vprtempo/models/.gitkeep diff --git a/src/blitnet.py b/vprtempo/src/blitnet.py similarity index 100% rename from src/blitnet.py rename to vprtempo/src/blitnet.py diff --git a/src/dataset.py b/vprtempo/src/dataset.py similarity index 99% rename from src/dataset.py rename to vprtempo/src/dataset.py index 9ed9112..976dbf2 100644 --- a/src/dataset.py +++ b/vprtempo/src/dataset.py @@ -5,7 +5,6 @@ import pandas as pd import numpy as np import torch.nn.functional as F -import torch.quantization as tq from torchvision.io import read_image from torch.utils.data import Dataset diff --git a/src/loggers.py b/vprtempo/src/loggers.py similarity index 97% rename from src/loggers.py rename to vprtempo/src/loggers.py index eace9ef..3081a02 100644 --- a/src/loggers.py +++ b/vprtempo/src/loggers.py @@ -9,7 +9,7 @@ def model_logger(): Configure the model logger """ now = datetime.now() - output_folder = './output/' + now.strftime("%d%m%y-%H-%M-%S") + output_folder = './vprtempo/output/' + now.strftime("%d%m%y-%H-%M-%S") os.mkdir(output_folder) # Create the logger @@ -54,7 +54,7 @@ def model_logger_quant(): """ now = datetime.now() - output_folder = './output/' + now.strftime("%d%m%y-%H-%M-%S") + output_folder = './vprtempo/output/' + now.strftime("%d%m%y-%H-%M-%S") os.mkdir(output_folder) # Create the logger diff --git a/src/metrics.py b/vprtempo/src/metrics.py similarity index 100% rename from src/metrics.py rename to vprtempo/src/metrics.py diff --git a/src/nordland.py b/vprtempo/src/nordland.py similarity index 100% rename from src/nordland.py rename to vprtempo/src/nordland.py From 032fa2a22d8c1020ee5b74615875d458bdb02d99 Mon Sep 17 00:00:00 2001 From: Adam Hines Date: Tue, 12 Dec 2023 16:34:00 +1000 Subject: [PATCH 2/3] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 4244cda..a22dcc7 100644 --- a/README.md +++ b/README.md @@ -56,7 +56,7 @@ Once downloaded, please install the required dependencies to run the network thr Dependencies for VPRTempo can downloaded from our [PyPi package](https://pypi.org/project/VPRTempo/). ```python -pip3 install VPRTempo +pip install vprtempo ``` If you wish to enable CUDA, please follow the instructions on the [PyTorch - Get Started](https://pytorch.org/get-started/locally/) page to install the required software versions for your hardware and operating system. From f405246f1c19d9cba2bed5f0e8ba3759ec5172b2 Mon Sep 17 00:00:00 2001 From: Adam Hines Date: Wed, 13 Dec 2023 09:29:18 +1000 Subject: [PATCH 3/3] Add in blank __init__ to src folder --- vprtempo/src/__init__.py | 0 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 vprtempo/src/__init__.py diff --git a/vprtempo/src/__init__.py b/vprtempo/src/__init__.py new file mode 100644 index 0000000..e69de29