Starting GUI linking

src/microglia_analyzer/_widget.py

@@ -117,11 +117,6 @@ def segment_microglia_panel(self):
         self.segment_microglia_group = QGroupBox("Segmentation")
         layout = QVBoxLayout()
 
-        # Dropdown menu to choose a model
-        self.model_selector = QComboBox()
-        self.model_selector.addItem("---")
-        layout.addWidget(self.model_selector)
-
         # Minimal area of a microglia
         h_layout = QHBoxLayout()
         self.minimal_area_label = QLabel("Min area (µm²):")
@@ -216,9 +211,6 @@ def select_image(self):
             return
         self.open_image(full_path)
 
-    def apply_calibration(self):
-        pass
-
     def proba_threshold_update(self):
         self.proba_value_label.setText(f"{self.probability_threshold_slider.value()}%")
 
@@ -285,7 +277,7 @@ def open_image(self, image_path):
             self.viewer.layers[_IMAGE_LAYER_NAME].data = data
         else:
             self.viewer.add_image(data, name=_IMAGE_LAYER_NAME, colormap='green')
-        # self.mam.load_image(image_path)
+        self.mam.set_input_image(data)
 
 
     def convert_to_optimal_unit(self, size, unit):
@@ -318,4 +310,4 @@ def set_calibration(self, size, unit):
             layer.scale = (size, size)
         self.pixel_size_label.setText(f"Pixel size: {size:.2f} {unit}")
         self.viewer.scale_bar.visible = True
-        # self.mam.set_calibration(size, unit)
+        self.mam.set_calibration(size, unit)

src/microglia_analyzer/models.json

@@ -1,4 +1,10 @@
 {
-    "µnet" : "https://dev.mri.cnrs.fr/attachments/download/3574/%C2%B5net.zip",
-    "µyolo": "https://dev.mri.cnrs.fr/attachments/download/3575/%C2%B5yolo.zip"
+    "µnet" : {
+        "url": "https://dev.mri.cnrs.fr/attachments/download/3574/%C2%B5net.zip",
+        "version": 208
+    },
+    "µyolo": {
+        "url": "https://dev.mri.cnrs.fr/attachments/download/3575/%C2%B5yolo.zip",
+        "version": 51
+    }
 }

src/microglia_analyzer/qt_workers.py

@@ -0,0 +1,20 @@
+from qtpy.QtCore import QObject
+from PyQt5.QtCore import pyqtSignal
+
+class QtSegmentProtoplasts(QObject):
+
+    finished = pyqtSignal()
+    update   = pyqtSignal(str, int, int)
+
+    def _probe_model(self, model):
+        pass
+
+    def __init__(self, pbr, mga):
+        super().__init__()
+        self.pbr = pbr
+        self.mga = mga
+
+    def run(self):
+        self.mga.find_traps()
+        self.mga.process_patches()
+        self.finished.emit()