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@@ -205,14 +205,17 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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- "execution_count": null,
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+ "execution_count": 10,
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"metadata": {},
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"metadata": {},
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"outputs": [
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"outputs": [
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{
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{
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"name": "stdout",
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"name": "stdout",
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"output_type": "stream",
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"output_type": "stream",
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"text": [
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"text": [
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- "Webcam stream 1024.0:768.0 at 30.00 FPS started\n"
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+ "Webcam stream 1024.0:768.0 at 30.00 FPS started\n",
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+ "Position tracker stopped\n",
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+ "Video writer stopped\n",
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+ "Camera released\n"
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]
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]
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}
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}
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],
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],
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@@ -362,9 +365,9 @@
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" islands = isl_factory.generate_target(pt.hds) # island near the speaker\n",
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" islands = isl_factory.generate_target(pt.hds) # island near the speaker\n",
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" log_islands(islands) # log island(s) positions\n",
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" log_islands(islands) # log island(s) positions\n",
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" tgt = [i for i in islands if not i.is_distractor][0]\n",
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" tgt = [i for i in islands if not i.is_distractor][0]\n",
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- " log_event(c_time, round(tgt.x, 4), round(tgt.y, 4), round(tgt.r, 4), trial, 0)\n",
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" phase = 1 # trial phase\n",
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" phase = 1 # trial phase\n",
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" trial += 1\n",
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" trial += 1\n",
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+ " log_event(c_time, round(tgt.x, 4), round(tgt.y, 4), round(tgt.r, 4), trial, 0)\n",
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" iti_distance = 0\n",
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" iti_distance = 0\n",
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" phase_start = c_time\n",
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" phase_start = c_time\n",
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" target_since = None\n",
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" target_since = None\n",
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@@ -479,7 +482,7 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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- "execution_count": null,
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+ "execution_count": 11,
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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"source": [
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"source": [
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@@ -490,9 +493,23 @@
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},
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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- "execution_count": null,
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+ "execution_count": 12,
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"metadata": {},
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"metadata": {},
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- "outputs": [],
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+ "outputs": [
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+ {
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+ "ename": "ValueError",
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+ "evalue": "Wrong number of columns at line 3",
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+ "output_type": "error",
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+ "traceback": [
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+ "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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+ "\u001b[1;31mValueError\u001b[0m Traceback (most recent call last)",
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+ "Cell \u001b[1;32mIn [12], line 5\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mSystemExit\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mNothing recorded. No sense to continue.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 4\u001b[0m \u001b[38;5;66;03m# do pack data to HDF5\u001b[39;00m\n\u001b[1;32m----> 5\u001b[0m h5name \u001b[38;5;241m=\u001b[39m \u001b[43mpack\u001b[49m\u001b[43m(\u001b[49m\u001b[43msession_path\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m 6\u001b[0m trial \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m\n",
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+ "File \u001b[1;32mD:\\code\\runSIT\\..\\pipeline\\postprocessing\\pack.py:59\u001b[0m, in \u001b[0;36mpack\u001b[1;34m(session_path)\u001b[0m\n\u001b[0;32m 57\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(filename) \u001b[38;5;28;01mas\u001b[39;00m ff:\n\u001b[0;32m 58\u001b[0m headers \u001b[38;5;241m=\u001b[39m ff\u001b[38;5;241m.\u001b[39mreadline()\n\u001b[1;32m---> 59\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mloadtxt\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdelimiter\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[38;5;124;43m,\u001b[39;49m\u001b[38;5;124;43m'\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mskiprows\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[0;32m 61\u001b[0m ds \u001b[38;5;241m=\u001b[39m raw\u001b[38;5;241m.\u001b[39mcreate_dataset(ds_name, data\u001b[38;5;241m=\u001b[39mdata)\n\u001b[0;32m 62\u001b[0m ds\u001b[38;5;241m.\u001b[39mattrs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mheaders\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m headers\n",
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+ "File \u001b[1;32mC:\\ProgramData\\Miniconda3\\envs\\P-SIT2\\lib\\site-packages\\numpy\\lib\\npyio.py:1159\u001b[0m, in \u001b[0;36mloadtxt\u001b[1;34m(fname, dtype, comments, delimiter, converters, skiprows, usecols, unpack, ndmin, encoding, max_rows, like)\u001b[0m\n\u001b[0;32m 1157\u001b[0m words \u001b[38;5;241m=\u001b[39m usecols_getter(words)\n\u001b[0;32m 1158\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(words) \u001b[38;5;241m!=\u001b[39m ncols:\n\u001b[1;32m-> 1159\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 1160\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mWrong number of columns at line \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mlineno\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 1161\u001b[0m \u001b[38;5;66;03m# Convert each value according to its column, then pack it\u001b[39;00m\n\u001b[0;32m 1162\u001b[0m \u001b[38;5;66;03m# according to the dtype's nesting, and store it.\u001b[39;00m\n\u001b[0;32m 1163\u001b[0m chunk\u001b[38;5;241m.\u001b[39mappend(packer(convert_row(words)))\n",
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+ "\u001b[1;31mValueError\u001b[0m: Wrong number of columns at line 3"
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+ ]
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+ }
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+ ],
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"source": [
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"source": [
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"if not trial > 0:\n",
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"if not trial > 0:\n",
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" raise SystemExit('Nothing recorded. No sense to continue.')\n",
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" raise SystemExit('Nothing recorded. No sense to continue.')\n",
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@@ -557,7 +574,7 @@
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"\n",
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"\n",
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"# occupancy\n",
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"# occupancy\n",
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"sigma = 0.1\n",
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"sigma = 0.1\n",
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- "lin_profile = np.linspace(-15, 15, 20)\n",
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+ "lin_profile = np.linspace(-15, 15, 20) \n",
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"bump = np.exp(-sigma * lin_profile**2)\n",
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"bump = np.exp(-sigma * lin_profile**2)\n",
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"bump /= np.trapz(bump) # normalize to 1\n",
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"bump /= np.trapz(bump) # normalize to 1\n",
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"kernel = bump[:, np.newaxis] * bump[np.newaxis, :]\n",
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"kernel = bump[:, np.newaxis] * bump[np.newaxis, :]\n",
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@@ -681,7 +698,7 @@
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],
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],
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"metadata": {
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"metadata": {
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"kernelspec": {
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"kernelspec": {
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- "display_name": "Python 3",
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+ "display_name": "Python 3 (ipykernel)",
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"language": "python",
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"language": "python",
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"name": "python3"
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"name": "python3"
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},
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},
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@@ -695,7 +712,7 @@
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"name": "python",
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"name": "python",
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"nbconvert_exporter": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"pygments_lexer": "ipython3",
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- "version": "3.8.8"
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+ "version": "3.8.13"
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}
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}
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},
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},
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"nbformat": 4,
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"nbformat": 4,
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