Basic RAW processing added

This commit is contained in:
2025-07-28 19:40:32 +02:00
parent 26425c1bfd
commit 47a13d3083
7 changed files with 227 additions and 67 deletions

View File

@ -5,6 +5,15 @@ class GlobalState:
def __init__(self):
self.listeners = defaultdict(list)
self.raw_params = {
"use_auto_wb": False,
"use_camera_wb": True,
"no_auto_bright": True,
"output_bps": 16,
"gamma": (2.222, 4.5), # Default sRGB gamma
}
self.raw_image_data = None
def subscribe(self, event_name: str, callback):
"""Register a function to be called when an event is dispatched."""
logging.info(f"Subscribing '{callback.__qualname__}' to event '{event_name}'")
@ -12,7 +21,7 @@ class GlobalState:
def dispatch(self, event_name: str, *args, **kwargs):
"""Call all registered callbacks for a given event."""
logging.info(f"Dispatching event '{event_name}' with data: {kwargs}")
logging.debug(f"Dispatching event '{event_name}' with data: {kwargs}")
if event_name in self.listeners:
for callback in self.listeners[event_name]:
try:

View File

@ -21,10 +21,10 @@ Size=400,400
Collapsed=0
[Window][###31]
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Size=344,701
Pos=373,547
Size=907,173
Collapsed=0
DockId=0x0000000D,0
DockId=0x0000000E,0
[Window][###29]
Pos=346,572
@ -36,13 +36,13 @@ DockId=0x00000010,0
Pos=310,19
Size=970,532
Collapsed=0
DockId=0x0000000B,0
DockId=0x0000000D,0
[Window][###49]
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Size=934,551
Collapsed=0
DockId=0x0000000B,0
DockId=0x0000000D,0
[Window][###32]
Pos=0,19
@ -51,35 +51,79 @@ Collapsed=0
DockId=0x00000011,0
[Window][###51]
Pos=310,19
Size=970,532
Pos=290,19
Size=990,550
Collapsed=0
DockId=0x0000000B,0
DockId=0x0000000D,0
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Size=970,532
Collapsed=0
DockId=0x0000000B,0
DockId=0x0000000D,0
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Collapsed=0
DockId=0x00000019,0
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Size=288,223
Collapsed=0
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Collapsed=0
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Size=371,355
Collapsed=0
DockId=0x0000001A,0
[Window][###53]
Pos=373,19
Size=907,526
Collapsed=0
DockId=0x0000000D,0
[Window][###59]
Pos=0,19
Size=371,701
Collapsed=0
DockId=0x00000019,1
[Docking][Data]
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DockNode ID=0x00000011 Parent=0x7C6B3D9B SizeRef=308,701 Selected=0x2554AADD
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DockNode ID=0x00000008 Parent=0x0000000A SizeRef=938,701 Split=X
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View File

@ -16,5 +16,11 @@
"config": {
"label": "ImageViewerWidget"
}
},
{
"widget_type": "RawSettingsWidget",
"config": {
"label": "RawSettingsWidget"
}
}
]

60
raw_processor.py Normal file
View File

@ -0,0 +1,60 @@
import rawpy
import numpy as np
import queue
import threading
import logging
import dearpygui.dearpygui as dpg
class RawProcessor:
"""
A background service that listens for new RAW files, processes them,
and dispatches the resulting RGB data.
"""
def __init__(self, global_state):
self.global_state = global_state
self.work_queue = queue.Queue()
# Subscribe to the event from the camera widget
self.global_state.subscribe("NEW_IMAGE_CAPTURED", self.add_to_queue)
# Start the processor's own background thread
self.worker_thread = threading.Thread(target=self._process_worker, daemon=True)
self.worker_thread.start()
logging.info("RAW Processor thread started.")
def add_to_queue(self, image_path: str):
"""Adds a new RAW file path to the processing queue."""
if image_path.lower().endswith(('.cr2')):
logging.info(f"RAW Processor: Queued {image_path} for processing.")
self.work_queue.put(image_path)
else:
# Not a supported raw file, hope for the best the viewer supports it
try:
width, height, channels, data = dpg.load_image(image_path)
rgba_float32 = np.array(data, dtype=np.float32)
rgba_float32 = rgba_float32.reshape(height, width, 4)
self.global_state.raw_image_data = rgba_float32.copy()
self.global_state.dispatch("PROCESSED_IMAGE_READY", image_data=rgba_float32.copy())
except Exception as e:
logging.error(f"Failed to load standard image {image_path}: {e}", exc_info=True)
def _process_worker(self):
"""The background thread that performs RAW processing and data conversion."""
while True:
raw_path = self.work_queue.get()
try:
logging.info(f"Processing {raw_path}...")
with rawpy.imread(raw_path) as raw:
rgb_uint8_potentially_corrupt = raw.postprocess(**self.global_state.raw_params)
rgb_uint8 = rgb_uint8_potentially_corrupt.copy()
logging.info("Defensive copy complete. Starting conversion...")
rgb_float32 = (rgb_uint8 / pow(2,self.global_state.raw_params['output_bps'])).astype(np.float32)
alpha_channel = np.ones((rgb_float32.shape[0], rgb_float32.shape[1], 1), dtype=np.float32)
rgba_float32_data = np.concatenate((rgb_float32, alpha_channel), axis=2)
logging.info(f"Processing and conversion complete for {raw_path}.")
self.global_state.raw_image_data = rgba_float32_data.copy()
self.global_state.dispatch("PROCESSED_IMAGE_READY", image_data=rgba_float32_data.copy())
except Exception as e:
logging.error(f"Failed to process RAW file {raw_path}: {e}", exc_info=True)

8
ui.py
View File

@ -7,6 +7,7 @@ import inspect
from collections import deque
import global_state
import raw_processor
from widgets.base_widget import BaseWidget
class DpgLogHandler(logging.Handler):
@ -33,6 +34,9 @@ class LayoutManager:
self.updating_widgets = []
self.global_state = global_state.GlobalState()
self.texture_registry = dpg.add_texture_registry()
self.raw_processor = raw_processor.RawProcessor(self.global_state)
def discover_and_register_widgets(self, directory="widgets"):
"""Dynamically discovers and registers widgets from a given directory."""
logging.info(f"Discovering widgets in '{directory}' directory...")
@ -102,8 +106,6 @@ class LayoutManager:
layout_manager = LayoutManager()
layout_manager.discover_and_register_widgets()
layout_manager.texture_registry = dpg.add_texture_registry()
with dpg.viewport_menu_bar():
with dpg.menu(label="File"):
dpg.add_menu_item(label="Save Layout", callback=layout_manager.save_layout)
@ -127,4 +129,4 @@ class LayoutManager:
layout_manager.update_all_widgets()
dpg.render_dearpygui_frame()
dpg.destroy_context()
dpg.destroy_context()

View File

@ -2,75 +2,78 @@
import dearpygui.dearpygui as dpg
from .base_widget import BaseWidget
import logging
import numpy as np
class ImageViewerWidget(BaseWidget):
"""
Displays a zoomable image inside a plot. This definitive version implements
programmatic pan and zoom by handling mouse events manually and repeatedly
calling set_axis_limits, as this is the only reliable method to achieve
both an initial fit and subsequent user interaction.
Displays a zoomable image inside a plot. This definitive version uses a
"reuse and reconfigure" pattern, creating DPG items only once and updating
them on subsequent loads to ensure stability and avoid segmentation faults.
"""
def __init__(self, widget_type: str, config: dict, layout_manager, global_state):
super().__init__(widget_type, config, layout_manager, global_state)
# Subscribe to the event that will provide new images
self.global_state.subscribe("NEW_IMAGE_CAPTURED", self.on_new_image)
# Register for updates to handle the dirty flag and panning
self.global_state.subscribe("PROCESSED_IMAGE_READY", self.on_new_image_data)
layout_manager.updating_widgets.append("ImageViewerWidget")
# Initialize tags and state variables
self.texture_tag = None
self.image_draw_tag = None
self.last_image_size = (1, 1) # width, height
self.needs_fit = False # The "dirty flag" for deferred fitting
# --- Initialize state ---
# A flag to know if the DPG items have been created yet.
self.is_initialized = False
# Generate the tags once. They will be reused for the widget's lifetime.
self.texture_tag = dpg.generate_uuid()
self.image_draw_tag = dpg.generate_uuid()
self.last_image_size = (1, 1)
self.needs_fit = False
def create(self):
"""Creates the DPG window, plot, and the necessary mouse handlers."""
"""Creates the DPG window and plot container. Does NOT create textures or drawings."""
if dpg.does_item_exist(self.window_tag): return
with dpg.window(label="Image Viewer", tag=self.window_tag, on_close=self._on_window_close, width=800, height=600):
# The plot is our canvas. `equal_aspects` is critical for preventing distortion.
with dpg.plot(label="Image Plot", no_menus=True, height=-1, width=-1, equal_aspects=True) as self.plot_tag:
self.xaxis_tag = dpg.add_plot_axis(dpg.mvXAxis, no_tick_labels=True, no_gridlines=True)
self.yaxis_tag = dpg.add_plot_axis(dpg.mvYAxis, no_tick_labels=True, no_gridlines=True)
def on_new_image(self, image_path: str):
"""Loads image data, deletes/recreates the drawing, and flags for a refit."""
if not image_path: return
logging.info(f"ImageViewer received new image: {image_path}")
with dpg.item_handler_registry(tag=f"my_window_handler_{self.window_tag}") as handler:
dpg.add_item_resize_handler(callback=self.fit_image_to_plot, user_data=self)
dpg.bind_item_handler_registry(self.window_tag, handler)
def on_new_image_data(self, image_data: np.ndarray):
"""Handles receiving a processed NumPy array, creating/updating items safely."""
logging.info("ImageViewer received new processed image data.")
try:
width, height, channels, data = dpg.load_image(image_path)
height, width, channels = image_data.shape
self.last_image_size = (width, height)
# Create or update the texture in the registry
if self.texture_tag is not None:
dpg.delete_item(self.texture_tag)
self.texture_tag = dpg.generate_uuid()
dpg.add_static_texture(width, height, data, tag=self.texture_tag, parent=self.layout_manager.texture_registry)
# --- THE "REUSE AND RECONFIGURE" LOGIC ---
if not self.is_initialized:
# FIRST RUN: Create the texture and drawing items for the first time.
logging.info("First image load: creating new texture and drawing items.")
dpg.add_dynamic_texture(width, height, image_data, tag=self.texture_tag, parent=self.layout_manager.texture_registry)
dpg.draw_image(self.texture_tag, (0, height), (width, 0), tag=self.image_draw_tag, parent=self.plot_tag)
self.is_initialized = True
else:
# SUBSEQUENT RUNS: Update the existing items. NO DELETION.
logging.info("Subsequent image load: updating existing texture and drawing.")
dpg.set_value(self.texture_tag, image_data)
dpg.configure_item(self.image_draw_tag, pmin=(0, height), pmax=(width, 0))
if self.image_draw_tag and dpg.does_item_exist(self.image_draw_tag):
dpg.delete_item(self.image_draw_tag)
self.image_draw_tag = dpg.draw_image(self.texture_tag, (0, height), (width, 0), parent=self.plot_tag)
# Set the dirty flag to trigger a fit on the next frame
# Set the dirty flag to trigger a fit on the next frame in all cases.
self.needs_fit = True
dpg.configure_item(self.window_tag, show=True)
dpg.configure_item(self.plot_tag, label=image_path)
dpg.focus_item(self.window_tag)
except Exception as e:
logging.error(f"ImageViewer failed to process image '{image_path}': {e}", exc_info=True)
logging.error(f"ImageViewer failed to process image data: {e}", exc_info=True)
def fit_image_to_plot(self):
"""Calculates and MANUALLY sets the plot's axis limits for the initial fit."""
# This function is correct and necessary.
plot_width = dpg.get_item_width(self.window_tag)
plot_height = dpg.get_item_height(self.window_tag)
if plot_width <= 0 or plot_height <= 0: return
img_width, img_height = self.last_image_size
if img_width <= 0 or img_height <= 0: return

View File

@ -0,0 +1,36 @@
# in widgets/raw_settings_widget.py
import dearpygui.dearpygui as dpg
from .base_widget import BaseWidget
class RawSettingsWidget(BaseWidget):
"""A widget to control the rawpy processing parameters stored in GlobalState."""
def create(self):
if dpg.does_item_exist(self.window_tag): return
with dpg.window(label="RAW Development", tag=self.window_tag, on_close=self._on_window_close):
dpg.add_text("rawpy Postprocessing Settings")
dpg.add_separator()
# Create UI elements that directly modify the shared state dictionary
dpg.add_checkbox(
label="Auto White Balance",
default_value=self.global_state.raw_params["use_auto_wb"],
callback=lambda s, a, u: self.global_state.raw_params.update({"use_auto_wb": a})
)
dpg.add_checkbox(
label="Use Camera White Balance",
default_value=self.global_state.raw_params["use_camera_wb"],
callback=lambda s, a, u: self.global_state.raw_params.update({"use_camera_wb": a})
)
dpg.add_checkbox(
label="Disable Auto-Brightness",
default_value=self.global_state.raw_params["no_auto_bright"],
callback=lambda s, a, u: self.global_state.raw_params.update({"no_auto_bright": a})
)
dpg.add_radio_button(
label="Output BPS",
items=["8", "16"],
default_value=str(self.global_state.raw_params["output_bps"]),
callback=lambda s, a, u: self.global_state.raw_params.update({"output_bps": int(a)}),
horizontal=True
)