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Exposure compansation value fix patch2

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sumitchatterjee13
2025-09-21 16:21:08 +10:00
parent 39f559e753
commit 287668c2b6
1 changed files with 24 additions and 28 deletions
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luminance_stack_processor.py
+24 -28
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@@ -623,13 +623,11 @@ class LuminanceStackProcessor3Stops:
"step": 0.1,
"display": "number"
}),
"exposure_compensation": ("FLOAT", {
"exposure_adjust": ("FLOAT", {
"default": -1.0,
"min": -5.0,
"max": 5.0,
"step": 0.1,
"display": "number",
"tooltip": "Adjust final exposure (stops): -1.0 = half brightness, +1.0 = double brightness"
"step": 0.1
}),
"hdr_algorithm": (["radiance_fusion", "natural_blend", "mertens", "debevec", "robertson"] + (["hdrutils"] if HDRUTILS_AVAILABLE else []), {
"default": "radiance_fusion"
@@ -645,7 +643,7 @@ class LuminanceStackProcessor3Stops:
def __init__(self):
self.processor = DebevecHDRProcessor()
def process_3_stop_hdr(self, ev_plus_2, ev_0, ev_minus_2, exposure_step=2.0, exposure_compensation=-1.0, hdr_algorithm="radiance_fusion"):
def process_3_stop_hdr(self, ev_plus_2, ev_0, ev_minus_2, exposure_step=2.0, exposure_adjust=-1.0, hdr_algorithm="radiance_fusion"):
"""
Process 3-stop HDR merge
@@ -654,10 +652,10 @@ class LuminanceStackProcessor3Stops:
ev_0: Normal exposure image (0 EV)
ev_minus_2: Underexposed image (-2 EV)
exposure_step: EV step size
exposure_compensation: Final exposure adjustment in stops (Nuke-style)
exposure_adjust: Final exposure adjustment in stops (Nuke-style)
Returns:
Tuple containing merged HDR image with exposure compensation applied
Tuple containing merged HDR image with exposure adjustment applied
"""
try:
# Convert tensors to 8-bit sRGB images (no gamma correction needed)
@@ -686,13 +684,13 @@ class LuminanceStackProcessor3Stops:
logger.info(f"3-Stop HDR result range before tensor conversion: [{hdr_result.min():.6f}, {hdr_result.max():.6f}]")
# Apply exposure compensation (Nuke-style)
if exposure_compensation != 0.0:
# Standard exposure formula: result * (2^(-exposure_compensation))
compensation_factor = 2.0 ** (-exposure_compensation)
hdr_result = hdr_result * compensation_factor
logger.info(f"Applied exposure compensation: {exposure_compensation:+.1f} stops (factor: {compensation_factor:.3f})")
logger.info(f"HDR result after compensation: [{hdr_result.min():.6f}, {hdr_result.max():.6f}]")
# Apply exposure adjustment (Nuke-style)
if exposure_adjust != 0.0:
# Standard exposure formula: result * (2^(-exposure_adjust))
adjustment_factor = 2.0 ** (-exposure_adjust)
hdr_result = hdr_result * adjustment_factor
logger.info(f"Applied exposure adjustment: {exposure_adjust:+.1f} stops (factor: {adjustment_factor:.3f})")
logger.info(f"HDR result after adjustment: [{hdr_result.min():.6f}, {hdr_result.max():.6f}]")
# Convert back to tensor with TRUE HDR values (above 1.0)
output_tensor = cv2_to_tensor(hdr_result, output_16bit_linear=True, algorithm_hint=hdr_algorithm)
@@ -736,13 +734,11 @@ class LuminanceStackProcessor5Stops:
"step": 0.1,
"display": "number"
}),
"exposure_compensation": ("FLOAT", {
"exposure_adjust": ("FLOAT", {
"default": -1.0,
"min": -5.0,
"max": 5.0,
"step": 0.1,
"display": "number",
"tooltip": "Adjust final exposure (stops): -1.0 = half brightness, +1.0 = double brightness"
"step": 0.1
}),
"hdr_algorithm": (["radiance_fusion", "natural_blend", "mertens", "debevec", "robertson"] + (["hdrutils"] if HDRUTILS_AVAILABLE else []), {
"default": "radiance_fusion"
@@ -758,7 +754,7 @@ class LuminanceStackProcessor5Stops:
def __init__(self):
self.processor = DebevecHDRProcessor()
def process_5_stop_hdr(self, ev_plus_4, ev_plus_2, ev_0, ev_minus_2, ev_minus_4, exposure_step=2.0, exposure_compensation=-1.0, hdr_algorithm="radiance_fusion"):
def process_5_stop_hdr(self, ev_plus_4, ev_plus_2, ev_0, ev_minus_2, ev_minus_4, exposure_step=2.0, exposure_adjust=-1.0, hdr_algorithm="radiance_fusion"):
"""
Process 5-stop HDR merge
@@ -769,10 +765,10 @@ class LuminanceStackProcessor5Stops:
ev_minus_2: Underexposed image (-2 EV)
ev_minus_4: Most underexposed image (-4 EV)
exposure_step: EV step size
exposure_compensation: Final exposure adjustment in stops (Nuke-style)
exposure_adjust: Final exposure adjustment in stops (Nuke-style)
Returns:
Tuple containing merged HDR image with exposure compensation applied
Tuple containing merged HDR image with exposure adjustment applied
"""
try:
# Convert tensors to 8-bit sRGB images (no gamma correction needed)
@@ -804,13 +800,13 @@ class LuminanceStackProcessor5Stops:
logger.info(f"5-Stop HDR result range before tensor conversion: [{hdr_result.min():.6f}, {hdr_result.max():.6f}]")
# Apply exposure compensation (Nuke-style)
if exposure_compensation != 0.0:
# Standard exposure formula: result * (2^(-exposure_compensation))
compensation_factor = 2.0 ** (-exposure_compensation)
hdr_result = hdr_result * compensation_factor
logger.info(f"Applied exposure compensation: {exposure_compensation:+.1f} stops (factor: {compensation_factor:.3f})")
logger.info(f"HDR result after compensation: [{hdr_result.min():.6f}, {hdr_result.max():.6f}]")
# Apply exposure adjustment (Nuke-style)
if exposure_adjust != 0.0:
# Standard exposure formula: result * (2^(-exposure_adjust))
adjustment_factor = 2.0 ** (-exposure_adjust)
hdr_result = hdr_result * adjustment_factor
logger.info(f"Applied exposure adjustment: {exposure_adjust:+.1f} stops (factor: {adjustment_factor:.3f})")
logger.info(f"HDR result after adjustment: [{hdr_result.min():.6f}, {hdr_result.max():.6f}]")
# Convert back to tensor with TRUE HDR values (above 1.0)
output_tensor = cv2_to_tensor(hdr_result, output_16bit_linear=True, algorithm_hint=hdr_algorithm)