save conf
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@@ -102,7 +102,7 @@ def __process_img(img , retimg=0):
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x = popt[1]
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y = popt[2]
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x,y = np.unravel_index(np.argmax(img), img.shape)
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x,y = np.unravel_index(np.argmax(z), z.shape)
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#ret1, th1 = cv2.threshold(img, 196, 255, cv2.THRESH_BINARY)
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#x, y = image_center_of_mass(img, plot=False, verbose=False)
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if retimg:
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@@ -87,10 +87,6 @@
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"metadata": {
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"jupyter": {
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"source_hidden": true
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},
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"ExecuteTime": {
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"end_time": "2025-07-18T06:39:14.743749Z",
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"start_time": "2025-07-18T06:39:14.508170Z"
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}
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},
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"source": [
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@@ -299,195 +295,8 @@
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"\n",
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"\n"
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],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Path exists: C:\\Users\\berti_r\\Python_Projects\\StagePerformaceDocu\\Scripts\n",
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"Path exists: C:\\Users\\berti_r\\Python_Projects\\StagePerformaceDocu\\Config\\config.json\n",
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"Path exists: C:\\Users\\berti_r\\Python_Projects\\StagePerformaceDocu\\Config\\config.json\n",
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"Path exists: C:\\Users\\berti_r\\Python_Projects\\templates\\motion_libs\n",
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"Path exists: C:\\Users\\berti_r\\Python_Projects\\StagePerformaceDocu\\Config\\measurement.json\n",
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"Constructor for PLC\n",
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"Connect to PLC\n",
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"is_open()=True\n",
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"get_local_address()=None\n",
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"read_device_info()=('Plc30 App', <pyads.structs.AdsVersion object at 0x0000021EC34C9550>)\n",
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"GVL_APP.nAXIS_NUM=3\n",
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"Constructor for axis\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"Dropdown(description='Test Type:', options=('Image Test', 'Repeatability Test', 'Static Test'), value='Image T…"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "848863412f7a4b21aa8d7f664d60e24f"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Output()"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "fde81169af6849e2b025be3f8e8eec66"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"BoundedIntText(value=10, description='Nr of cycles:', max=1000, min=1)"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "6a6b3add07a343149f0d1bd2ab37a9d4"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Output()"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "e46cbb1bda90470586b1ef5081073f12"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Text(value='0.0004', description='Exposure [s]:')"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "e3d541a103d64718bd6129d19d092b0e"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Output()"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "8b246386f99b46c98cfbe4dba07320fc"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"ToggleButton(value=False, description='Processing', tooltip='Toggle processing on/off')"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "7263301c563345b0a13a5fc8774fc751"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Output()"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "375d52d163694df281c5ce1c41e6d345"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Button(description='Set exposure time', style=ButtonStyle())"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "68a6602005cf4ce68e657bd1065be38a"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Output()"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "a99013ecf9634db884708b247014b3f0"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Button(description='Start Measurement', style=ButtonStyle())"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "5aa83eb170a1446e94e08ffc065dc8fe"
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}
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"Output()"
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],
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"application/vnd.jupyter.widget-view+json": {
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"version_major": 2,
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"version_minor": 0,
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"model_id": "32ba3210dcd44b0e94ba446c81cbd8f8"
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}
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"execution_count": 1
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"outputs": [],
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"execution_count": null
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},
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{
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"cell_type": "markdown",
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