Improved the seeking in the grid calibration

- Make the seeking of the upper left corner more intelligent/responsive rather than hard coding "left 15 times up 15 times"
- Commented out more experimentation code

src/df_tools/dfwindow.py

@@ -1,6 +1,5 @@
 import json
 import time
-import timeit
 from pathlib import Path
 
 import cv2
@@ -248,8 +247,22 @@ class DFWINDOW:
         time.sleep(self.sleep_after_mouse)
         self.focusWindow()
         time.sleep(self.sleep_after_focus)
-        self.sendKeys("w", 30)
+
-        self.sendKeys("a", 30)
+        # Improved seeking upper left
+        self.sendKeys("w", 8)
+        img = self.capContent()
+        while not self.TOOLS.isTopBorder(img):
+            self.sendKeys("w", 4)
+            img = self.capContent()
+        self.sendKeys("w", 4)
+        
+        self.sendKeys("a", 8)
+        img = self.capContent()
+        while not self.TOOLS.isLeftBorder(img):
+            self.sendKeys("a", 4)
+            img = self.capContent()
+        self.sendKeys("a", 4)
+
         img = self.capWindow()
         self._content_left, self._content_top = self.TOOLS.find_content_origin(img)
         self._content_right = int(img.shape[1] - self._content_left)
@@ -369,7 +382,7 @@ class DFWINDOW:
         self._map_height = (
             (img.shape[0] - cal_top_border)  # Grid x = 0
             + ((self._gridy_max - 1) * self._step_size_y)  # All the middle
-            + cal_right_border  # grid x = max
+            + cal_bottom_border  # grid x = max
         )
 
         self.setGridPos(0, 0)
@@ -382,31 +395,31 @@ class DFWINDOW:
 
     def test1(self):
         # rawimg = cv2.imread("./test_img.png")
-        rawimg = cv2.imread("grid_base_3.png")
+        # rawimg = cv2.imread("grid_base_3.png")
-        img = rawimg[100 : -self.bottom_to_ignore - 70, 65:-65]
+        # img = rawimg[100 : -self.bottom_to_ignore - 70, 65:-65]
-        tlb = self.TOOLS.firstNotBlackX(img)
+        # tlb = self.TOOLS.firstNotBlackX(img)
-        ttb = self.TOOLS.firstNotBlackY(img)
+        # ttb = self.TOOLS.firstNotBlackY(img)
 
-        tt_setup = (
+        # tt_setup = (
-            r"gc.enable() ; import cv2 ; import numpy as np ; timg = cv2.imread('./test_img.png', cv2.IMREAD_UNCHANGED)"
+        #     r"gc.enable() ; import cv2 ; import numpy as np ; timg = cv2.imread('./test_img.png', cv2.IMREAD_UNCHANGED)"
-        )
+        # )
-        tt1 = timeit.Timer(
+        # tt1 = timeit.Timer(
-            "np.where(np.mean(cv2.cvtColor(timg, cv2.COLOR_BGR2GRAY), axis=0) > 15)[0][0]",
+        #     "np.where(np.mean(cv2.cvtColor(timg, cv2.COLOR_BGR2GRAY), axis=0) > 15)[0][0]",
-            setup=tt_setup,
+        #     setup=tt_setup,
-        )
+        # )
-        tt2 = timeit.Timer(
+        # tt2 = timeit.Timer(
-            "np.where(np.max(cv2.cvtColor(timg, cv2.COLOR_BGR2GRAY), axis=0) > 25)[0][0]",
+        #     "np.where(np.max(cv2.cvtColor(timg, cv2.COLOR_BGR2GRAY), axis=0) > 25)[0][0]",
-            setup=tt_setup,
+        #     setup=tt_setup,
-        )
+        # )
-        tt3 = timeit.Timer(
+        # tt3 = timeit.Timer(
-            "np.where(np.max(cv2.cvtColor(timg, cv2.COLOR_BGRA2GRAY), axis=0) > 25)[0][0]",
+        #     "np.where(np.max(cv2.cvtColor(timg, cv2.COLOR_BGRA2GRAY), axis=0) > 25)[0][0]",
-            setup=tt_setup,
+        #     setup=tt_setup,
-        )
+        # )
 
-        num_tests = 80
+        # num_tests = 80
-        r1 = tt1.timeit(number=num_tests)
+        # r1 = tt1.timeit(number=num_tests)
-        r2 = tt2.timeit(number=num_tests)
+        # r2 = tt2.timeit(number=num_tests)
-        r3 = tt3.timeit(number=num_tests)
+        # r3 = tt3.timeit(number=num_tests)
 
         logger.debug("Pause here for testing")
 
@@ -456,11 +469,6 @@ class DFWINDOW:
         self._map_width = calib_info["map_width"]
 
     def getPanoramaMap(self):
-        # self.test1()
-        # return
-
         self.calibrateGrid()
-        # self.test_saveGrids()
-        # self.test_loadCalib()
 
         return None

src/df_tools/imgtools.py

@@ -2,8 +2,6 @@ import json
 import subprocess
 
 import pydantic as pyd
-import cv2
-import numpy as np
 
 from .dfwindow import DFWINDOW
 from .mylogging import logger, setup_logging