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Convert 20 individual windows to tabs in a notebook. #301

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Merged
yujiahu415 merged 8 commits into from
Sep 3, 2025
Merged

Convert 20 individual windows to tabs in a notebook. #301

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007284e
Update gui_main.py
ruck94301 Sep 1, 2025
5c10c3e
Update gui_main.py
ruck94301 Sep 1, 2025
548f44a
Convert 4 Windows to tabs in notebook.
ruck94301 Sep 1, 2025
7adc209
Convert 4 more windows to notebook tabs.
ruck94301 Sep 1, 2025
f8478ac
Convert 3 windows from gui_detector to tabs.
ruck94301 Sep 1, 2025
96c9e00
Convert 2 windows to notebook tabs (from gui_preprocessor)
ruck94301 Sep 1, 2025
54801ef
Convert 2 windows to notebook tabs (from gui_categorizer)
ruck94301 Sep 1, 2025
de7b9b9
Scrub commented-out Frame statements.
ruck94301 Sep 1, 2025
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36 changes: 20 additions & 16 deletions LabGym/gui_analyzer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -75,15 +75,16 @@ def __init__(self,parent,title,name_and_color):



class WindowLv2_AnalyzeBehaviors(wx.Frame):
class PanelLv2_AnalyzeBehaviors(wx.Panel):

'''
The 'Analyze Behaviors' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_AnalyzeBehaviors,self).__init__(parent=None,title=title,size=(1000,530))
super().__init__(parent)
self.notebook = parent
self.behavior_mode=0 # 0--non-interactive, 1--interactive basic, 2--interactive advanced, 3--static images
self.use_detector=False # whether the Detector is used
self.detector_path=None # the 'LabGym/detectors' folder, which stores all the trained Detectors
Expand Down Expand Up @@ -136,7 +137,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_selectcategorizer=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -1096,15 +1097,16 @@ def analyze_behaviors(self,event):



class WindowLv2_MineResults(wx.Frame):
class PanelLv2_MineResults(wx.Panel):

'''
The 'Mine Results' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_MineResults,self).__init__(parent=None,title=title,size=(1000,260))
super().__init__(parent)
self.notebook = parent
self.file_path=None # the path to LabGym analysis results
self.result_path=None # the folder to store data mining results
self.dataset=None # store the dataset in RAM
Expand All @@ -1119,7 +1121,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputfolder=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -1274,15 +1276,16 @@ def mine_data(self,event):



class WindowLv2_PlotBehaviors(wx.Frame):
class PanelLv2_PlotBehaviors(wx.Panel):

'''
The 'Plot Behaviors' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_PlotBehaviors,self).__init__(parent=None,title=title,size=(1000,260))
super().__init__(parent)
self.notebook = parent
self.events_probability=None # read from 'all_events.xsls' to store the behavior events and probability of each animal / object
self.time_points=None # the frame-wise time points of the events_probablity
self.results_folder=None # the folder that stores the ouput behavior plot
Expand All @@ -1293,7 +1296,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputfile=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -1386,15 +1389,16 @@ def plot_behavior(self,event):



class WindowLv2_CalculateDistances(wx.Frame):
class PanelLv2_CalculateDistances(wx.Panel):

'''
The 'Calculate Distances' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_CalculateDistances,self).__init__(parent=None,title=title,size=(1000,260))
super().__init__(parent)
self.notebook = parent
self.path_to_analysis_results=None # the folder that stores LabGym analysis results
self.out_path=None # the folder to store the calculated distances
self.behavior_to_include=None # the behaviors used in calculation
Expand All @@ -1404,7 +1408,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputfolder=wx.BoxSizer(wx.HORIZONTAL)
Expand Down
62 changes: 36 additions & 26 deletions LabGym/gui_categorizer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -49,15 +49,16 @@
the_absolute_current_path=str(Path(__file__).resolve().parent)


class WindowLv2_GenerateExamples(wx.Frame):
class PanelLv2_GenerateExamples(wx.Panel):

'''
The 'Generate Behavior Examples' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_GenerateExamples,self).__init__(parent=None,title=title,size=(1000,530))
super().__init__(parent)
self.notebook = parent
self.behavior_mode=0 # 0: non-interactive behavior; 1: interact basic; 2: interact advanced; 3: static images
self.use_detector=False # whether the Detector is used
self.detector_path=None # the 'LabGym/detectors' folder, which stores all the trained Detectors
Expand Down Expand Up @@ -93,7 +94,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_specifymode=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -672,21 +673,22 @@ def generate_data(self,event):



class WindowLv2_SortBehaviors(wx.Frame):
class PanelLv2_SortBehaviors(wx.Panel):

'''
The 'Sort Behavior Examples' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_SortBehaviors,self).__init__(parent=None,title=title,size=(500,230))
super().__init__(parent)
self.notebook = parent
self.display_window()


def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)
boxsizer.Add(0,40,0)

Expand All @@ -710,24 +712,29 @@ def display_window(self):

def sort_examples(self,event):

WindowLv3_SortExamples('Sort Examples (LabGym UI)')
panel = PanelLv3_SortExamples(self.notebook)
title = 'Sort Examples (LabGym UI)'
self.notebook.AddPage(panel, title, select=True)


def sort_examples_csv(self,event):

WindowLv3_SortExamplesCSV('Sort Examples (from .csv)')
panel = PanelLv3_SortExamplesCSV(self.notebook)
title = 'Sort Examples (from .csv)'
self.notebook.AddPage(panel, title, select=True)



class WindowLv3_SortExamples(wx.Frame):
class PanelLv3_SortExamples(wx.Panel):

'''
The 'Sort Examples (LabGym UI)' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv3_SortExamples,self).__init__(parent=None,title=title,size=(1000,260))
super().__init__(parent)
self.notebook = parent
self.input_path=None # the folder that stores unsorted behavior examples (one example is a pair of an animation and a pattern image)
self.result_path=None # the folder that stores the sorted behavior examples
self.keys_behaviors={} # stores the pairs of shortcut key-behavior name
Expand All @@ -738,7 +745,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputfolder=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -965,15 +972,16 @@ def sort_behaviors(self,event):



class WindowLv3_SortExamplesCSV(wx.Frame):
class PanelLv3_SortExamplesCSV(wx.Panel):

'''
The 'Sort Examples (from .csv)' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv3_SortExamplesCSV,self).__init__(parent=None,title=title,size=(1000,220))
super().__init__(parent)
self.notebook = parent
self.path_to_examples=None # path to unsorted behavior examples generated by LabGym, should also contain the annotation '.csv' file
self.result_path=None # the folder for storing sorted behavior examples

Expand All @@ -982,7 +990,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputexamples=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -1046,15 +1054,16 @@ def sort_fromcsv(self,event):



class WindowLv2_TrainCategorizers(wx.Frame):
class PanelLv2_TrainCategorizers(wx.Panel):

'''
The 'Train Categorizers' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_TrainCategorizers,self).__init__(parent=None,title=title,size=(1000,540))
super().__init__(parent)
self.notebook = parent
self.file_path=None # the folder that stores sorted, unprepared behavior examples (each category is a subfolder)
self.new_path=None # the folder that stores prepared behavior examples (contains all examples with a category tag in their names)
self.behavior_mode=0 # 0--non-interactive, 1--interactive basic, 2--interactive advanced, 3--static images
Expand Down Expand Up @@ -1085,7 +1094,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputexamples=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -1558,15 +1567,16 @@ def train_categorizer(self,event):



class WindowLv2_TestCategorizers(wx.Frame):
class PanelLv2_TestCategorizers(wx.Panel):

'''
The 'Test Categorizers' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_TestCategorizers,self).__init__(parent=None,title=title,size=(1000,260))
super().__init__(parent)
self.notebook = parent
self.file_path=None # the folder that stores the ground-truth examples (each subfolder is a behavior category)
self.model_path=os.path.join(the_absolute_current_path,'models') # the 'LabGym/models' folder, which stores all the trained Categorizers
self.path_to_categorizer=None # path to the Categorizer
Expand All @@ -1577,7 +1587,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_selectcategorizer=wx.BoxSizer(wx.HORIZONTAL)
Expand Down
27 changes: 15 additions & 12 deletions LabGym/gui_detector.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -41,15 +41,16 @@
the_absolute_current_path=str(Path(__file__).resolve().parent)


class WindowLv2_GenerateImages(wx.Frame):
class PanelLv2_GenerateImages(wx.Panel):

'''
The 'Generate Images' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_GenerateImages,self).__init__(parent=None,title=title,size=(1000,350))
super().__init__(parent)
self.notebook = parent
self.path_to_videos=None # path to a batch of videos for generate images (extract frames)
self.result_path=None # the folder for storing the generate images (extract frames)
self.framewidth=None # if not None, will resize the video frame keeping the original w:h ratio
Expand All @@ -61,7 +62,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_inputvideos=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -225,15 +226,16 @@ def generate_images(self,event):



class WindowLv2_TrainDetectors(wx.Frame):
class PanelLv2_TrainDetectors(wx.Panel):

'''
The 'Train Detectors' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_TrainDetectors,self).__init__(parent=None,title=title,size=(1000,300))
super().__init__(parent)
self.notebook = parent
self.path_to_trainingimages=None # the folder that stores all the training images
self.path_to_annotation=None # the path to the .json file that stores the annotations in coco format
self.inference_size=480 # the Detector inferencing frame size
Expand All @@ -246,7 +248,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_selectimages=wx.BoxSizer(wx.HORIZONTAL)
Expand Down Expand Up @@ -378,15 +380,16 @@ def train_detector(self,event):



class WindowLv2_TestDetectors(wx.Frame):
class PanelLv2_TestDetectors(wx.Panel):

'''
The 'Test Detectors' functional unit
'''

def __init__(self,title):
def __init__(self, parent):

super(WindowLv2_TestDetectors,self).__init__(parent=None,title=title,size=(1000,300))
super().__init__(parent)
self.notebook = parent
self.path_to_testingimages=None # the folder that stores all the testing images
self.path_to_annotation=None # the path to the .json file that stores the annotations in coco format
self.detector_path=os.path.join(the_absolute_current_path,'detectors') # the 'LabGym/detectors' folder, which stores all the trained Detectors
Expand All @@ -398,7 +401,7 @@ def __init__(self,title):

def display_window(self):

panel=wx.Panel(self)
panel = self
boxsizer=wx.BoxSizer(wx.VERTICAL)

module_selectdetector=wx.BoxSizer(wx.HORIZONTAL)
Expand Down
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