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training fix. add global settings

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This commit is contained in:
Crussade
2025-12-02 09:31:52 +01:00
parent 55b1b2b5fe
commit c3c7e042bb
86 changed files with 77512 additions and 7054 deletions
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158
backend/data/test_base_configs.py
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@@ -1,79 +1,79 @@
#!/usr/bin/env python3
"""
Test script to demonstrate base configuration loading for YOLOX models
"""
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from services.generate_yolox_exp import load_base_config
def test_base_configs():
"""Test loading all base configurations"""
models = ['yolox-s', 'yolox-m', 'yolox-l', 'yolox-x']
print("=" * 80)
print("YOLOX Base Configuration Test")
print("=" * 80)
for model in models:
print(f"\n{'='*80}")
print(f"Model: {model.upper()}")
print(f"{'='*80}")
try:
config = load_base_config(model)
# Group parameters by category
arch_params = ['depth', 'width', 'activation']
training_params = ['max_epoch', 'warmup_epochs', 'basic_lr_per_img', 'scheduler',
'no_aug_epochs', 'min_lr_ratio']
optimizer_params = ['momentum', 'weight_decay']
augmentation_params = ['mosaic_prob', 'mixup_prob', 'hsv_prob', 'flip_prob',
'degrees', 'translate', 'shear', 'mosaic_scale',
'mixup_scale', 'enable_mixup']
input_params = ['input_size', 'test_size', 'random_size']
eval_params = ['eval_interval', 'print_interval']
print("\n[Architecture]")
for param in arch_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Training Hyperparameters]")
for param in training_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Optimizer]")
for param in optimizer_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Data Augmentation]")
for param in augmentation_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Input/Output]")
for param in input_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Evaluation]")
for param in eval_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print(f"\n✓ Successfully loaded {len(config)} parameters")
except Exception as e:
print(f"✗ Error loading config: {e}")
print("\n" + "="*80)
print("Test Complete")
print("="*80)
if __name__ == '__main__':
test_base_configs()
#!/usr/bin/env python3
"""
Test script to demonstrate base configuration loading for YOLOX models
"""
import sys
import os
sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..'))
from services.generate_yolox_exp import load_base_config
def test_base_configs():
"""Test loading all base configurations"""
models = ['yolox-s', 'yolox-m', 'yolox-l', 'yolox-x']
print("=" * 80)
print("YOLOX Base Configuration Test")
print("=" * 80)
for model in models:
print(f"\n{'='*80}")
print(f"Model: {model.upper()}")
print(f"{'='*80}")
try:
config = load_base_config(model)
# Group parameters by category
arch_params = ['depth', 'width', 'activation']
training_params = ['max_epoch', 'warmup_epochs', 'basic_lr_per_img', 'scheduler',
'no_aug_epochs', 'min_lr_ratio']
optimizer_params = ['momentum', 'weight_decay']
augmentation_params = ['mosaic_prob', 'mixup_prob', 'hsv_prob', 'flip_prob',
'degrees', 'translate', 'shear', 'mosaic_scale',
'mixup_scale', 'enable_mixup']
input_params = ['input_size', 'test_size', 'random_size']
eval_params = ['eval_interval', 'print_interval']
print("\n[Architecture]")
for param in arch_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Training Hyperparameters]")
for param in training_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Optimizer]")
for param in optimizer_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Data Augmentation]")
for param in augmentation_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Input/Output]")
for param in input_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print("\n[Evaluation]")
for param in eval_params:
if param in config:
print(f" {param:25s} = {config[param]}")
print(f"\n✓ Successfully loaded {len(config)} parameters")
except Exception as e:
print(f"✗ Error loading config: {e}")
print("\n" + "="*80)
print("Test Complete")
print("="*80)
if __name__ == '__main__':
test_base_configs()