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app.ipynb
CHANGED
@@ -32,11 +32,14 @@
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"source": [
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"from pathlib import Path\n",
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"from io import StringIO\n",
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"\n",
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"import pandas as pd\n",
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"import panel as pn\n",
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"\n",
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"import scripts.tap_const as tc"
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"metadata": {},
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"outputs": [],
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"source": [
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"pn.extension(\"
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"\n",
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"template = pn.template.BootstrapTemplate(title=\"Ralstonia Annotation Tool\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"##
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"def to_dataframe(value):\n",
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" if not value or not isinstance(value, bytes):\n",
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" return pd.DataFrame()\n",
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"\n",
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" string_io = StringIO(value.decode(\"utf8\"))\n",
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" return pd.read_csv(string_io, sep=\";\")"
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"source": [
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"
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" file=pt_data.joinpath(f\"{EXPERIMENT}_raw.csv\"),\n",
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" filename=f\"{EXPERIMENT}_raw.csv\",\n",
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" button_type=\"success\",\n",
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" label=\"Download template annotation file\",\n",
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")
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"template_download"
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]
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"file_input = pn.widgets.FileInput(accept=\".csv,.json\")\n",
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"table = pn.widgets.Tabulator(\n",
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"
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" pagination=\"local\",\n",
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" page_size=20,\n",
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" sizing_mode=\"stretch_width\",\n",
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")\n",
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"cell_type": "markdown",
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"metadata": {},
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{
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@@ -179,16 +206,24 @@
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"outputs": [],
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"source": [
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"sl_plant = pn.widgets.Select(name=\"Plant\", options=[])\n",
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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{
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"metadata": {},
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"outputs": [],
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"source": [
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")\n",
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"template.sidebar.append(sl_plant)\n",
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"\n",
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"\n",
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{
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@@ -212,7 +398,11 @@
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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}
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],
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"metadata": {
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"source": [
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"from pathlib import Path\n",
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"from io import StringIO\n",
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"import json\n",
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"from datetime import datetime as dt\n",
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"\n",
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"import pandas as pd\n",
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"import panel as pn\n",
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"\n",
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"import scripts.tap_const as tc\n",
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"import scripts.tap_image as ti"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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"pn.extension(\"tabulator\", design=\"bootstrap\")\n",
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"\n",
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"template = pn.template.BootstrapTemplate(title=\"Ralstonia Annotation Tool\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"pd.set_option(\"display.max_colwidth\", 500)\n",
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"pd.set_option(\"display.max_columns\", 500)\n",
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"pd.set_option(\"display.width\", 1000)\n",
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"pd.set_option(\"display.max_rows\", 20)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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+
"## User Interface"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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+
"### Source Selection"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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+
"#### Download Template"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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+
"dwn_template = pn.widgets.FileDownload(\n",
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" file=pt_data.joinpath(f\"{EXPERIMENT}_raw.csv\"),\n",
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" filename=f\"{EXPERIMENT}_raw.csv\",\n",
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" button_type=\"success\",\n",
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" label=\"Download template annotation file\",\n",
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+
")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Upload existing file"
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]
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},
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{
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"source": [
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"file_input = pn.widgets.FileInput(accept=\".csv,.json\")\n",
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"table = pn.widgets.Tabulator(\n",
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+
" value=pd.DataFrame(),\n",
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" pagination=\"local\",\n",
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" page_size=20,\n",
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" sizing_mode=\"stretch_width\",\n",
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")\n",
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"\n",
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"ck_show_finished = pn.widgets.ToggleIcon(\n",
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" icon=\"eye-x\", size=\"4em\", active_icon=\"eye\", value=False\n",
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")\n",
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"mk_show_finished = pn.pane.Markdown(\"Hide complete plants\")\n",
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"\n",
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"@pn.depends(file_input.param.value, watch=True)\n",
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"def on_file_loaded(value):\n",
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" if not value or not isinstance(value, bytes):\n",
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" return pd.DataFrame()\n",
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"\n",
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" string_io = StringIO(value.decode(\"utf8\"))\n",
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" ret = pd.read_csv(string_io, sep=\";\").assign(\n",
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" file_name=lambda x: x.filepath.str.replace(\".tif\", \".jpg\")\n",
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" )\n",
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" ret = ret[ret.treatment == \"RS\"]\n",
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+
" if \"di\" not in ret:\n",
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" ret[\"di\"] = 0\n",
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" if \"done\" not in ret:\n",
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" ret[\"done\"] = False\n",
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"\n",
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" table.value = ret"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Annotation Tools"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Plant Selection"
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]
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},
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{
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"outputs": [],
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"source": [
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"sl_plant = pn.widgets.Select(name=\"Plant\", options=[])\n",
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"\n",
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"@pn.depends(table.param.value, ck_show_finished.param.value, watch=True)\n",
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"def on_table_changed(file: str, show_done: bool):\n",
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" df = table.value\n",
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" if \"done\" in df:\n",
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" sl_plant.options = list(\n",
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" df.plant.unique() if show_done is True else df[df.done == False].plant.unique()\n",
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" )\n",
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" mk_show_finished.object = (\n",
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" \"Show complete plants\" if show_done is True else \"Hide complete plants\"\n",
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" )"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### Main Annotation UI"
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]
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},
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{
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"metadata": {},
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"outputs": [],
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"source": [
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+
"im_current = pn.pane.Image(max_width=800, max_height=800, sizing_mode=\"stretch_width\")\n",
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"discrete_player = pn.widgets.DiscretePlayer(\n",
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" name=\"Discrete Player\", options=[0], value=0, loop_policy=\"loop\"\n",
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")\n",
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"discrete_player.interval = 1000\n",
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"ii_disease_index = pn.widgets.IntInput(\n",
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" name=\"Disease Index\",\n",
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" start=0,\n",
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" end=4,\n",
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" step=1,\n",
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" value=0,\n",
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" max_width=80,\n",
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" sizing_mode=\"stretch_width\",\n",
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")\n",
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"\n",
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"dwn_annotations = pn.widgets.FileDownload(\n",
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" file=pt_data.joinpath(f\"{EXPERIMENT}_raw.csv\"),\n",
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" filename=f\"{EXPERIMENT}_raw.csv\",\n",
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" label=\" \",\n",
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" name=\"Download Annotations\",\n",
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" sizing_mode=\"stretch_width\",\n",
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" icon=\"file-download\",\n",
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" button_type=\"primary\",\n",
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")\n",
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"\n",
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"updating: bool = False\n",
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"\n",
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"\n",
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"@pn.cache(max_items=10, policy=\"LRU\")\n",
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"def get_plant_data(df, plant_name) -> pd.DataFrame:\n",
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" file_names, rotations = [], []\n",
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" for k, v in json.load(\n",
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" open(pt_rotations.joinpath(sl_plant.value).with_suffix(\".json\"), \"r\")\n",
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" ).items():\n",
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" file_names.append(k + \".jpg\")\n",
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" rotations.append(v)\n",
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"\n",
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" return df[df.plant == plant_name].merge(\n",
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" pd.DataFrame(data={\"file_name\": file_names, \"rotation\": rotations}),\n",
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" on=\"file_name\",\n",
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" how=\"left\",\n",
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" )\n",
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"\n",
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"\n",
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"def update_image():\n",
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" global updating\n",
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" updating = True\n",
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" try:\n",
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" row = (\n",
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" get_plant_data(df=table.value, plant_name=sl_plant.value)\n",
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" .set_index(\"job_id\")\n",
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" .loc[discrete_player.value]\n",
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" )\n",
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" if pt_images.joinpath(row.file_name).is_file() is True:\n",
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" im_current.object = ti.to_pil(\n",
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" ti.rotate_image(\n",
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" image=ti.load_image(file_name=row.file_name, file_path=pt_images),\n",
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" angle=row.rotation,\n",
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" )\n",
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" )\n",
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" ii_disease_index.value = row.di\n",
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" else:\n",
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" im_current.object = None\n",
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" finally:\n",
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" updating = False\n",
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"\n",
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"\n",
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"@pn.depends(sl_plant.param.value, watch=True)\n",
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"def on_plant_changed(plant_name):\n",
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" discrete_player.options = get_plant_data(\n",
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" df=table.value, plant_name=plant_name\n",
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" ).job_id.to_list()\n",
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" discrete_player.value = discrete_player.options[0]\n",
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" update_image()\n",
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"\n",
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"\n",
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"@pn.depends(discrete_player.param.value, watch=True)\n",
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"def on_index_changed(index):\n",
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" update_image()\n",
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"\n",
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"\n",
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"@pn.depends(ii_disease_index.param.value, watch=True)\n",
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"def on_di_changed(di):\n",
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" if updating is True:\n",
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" return\n",
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" table.value.loc[\n",
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" (table.value.plant == sl_plant.value)\n",
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322 |
+
" & (table.value.job_id >= discrete_player.value),\n",
|
323 |
+
" \"di\",\n",
|
324 |
+
" ] = di\n",
|
325 |
+
" table.value.loc[(table.value.plant == sl_plant.value), \"done\"] = True\n",
|
326 |
+
"\n",
|
327 |
+
" s_buf = StringIO()\n",
|
328 |
+
" table.value.to_csv(s_buf, sep=\";\")\n",
|
329 |
+
" s_buf.seek(0)\n",
|
330 |
+
" dwn_annotations.filename = f\"{EXPERIMENT}_{dt.now().strftime('%Y%d%m_%H%M%S')}.csv\"\n",
|
331 |
+
" dwn_annotations.label = \"Download\"\n",
|
332 |
+
" dwn_annotations.file = s_buf\n",
|
333 |
+
" dwn_annotations.icon = \"file-download\""
|
334 |
+
]
|
335 |
+
},
|
336 |
+
{
|
337 |
+
"cell_type": "markdown",
|
338 |
+
"metadata": {},
|
339 |
+
"source": [
|
340 |
+
"### Build Components"
|
341 |
+
]
|
342 |
+
},
|
343 |
+
{
|
344 |
+
"cell_type": "code",
|
345 |
+
"execution_count": null,
|
346 |
+
"metadata": {},
|
347 |
+
"outputs": [],
|
348 |
+
"source": [
|
349 |
+
"sidebar = pn.Column(\n",
|
350 |
+
" pn.Card(pn.Column(dwn_template, file_input), title=\"File Manager\"),\n",
|
351 |
+
" sl_plant,\n",
|
352 |
+
" pn.Row(\n",
|
353 |
+
" ck_show_finished,\n",
|
354 |
+
" pn.Column(pn.layout.VSpacer(), mk_show_finished, pn.layout.VSpacer()),\n",
|
355 |
+
" height=50,\n",
|
356 |
+
" ),\n",
|
357 |
+
")\n",
|
358 |
+
"main = pn.Column(\n",
|
359 |
+
" im_current,\n",
|
360 |
+
" pn.Row(\n",
|
361 |
+
" # pn.layout.HSpacer(),\n",
|
362 |
+
" discrete_player,\n",
|
363 |
+
" ii_disease_index,\n",
|
364 |
+
" dwn_annotations,\n",
|
365 |
+
" # pn.layout.HSpacer(),\n",
|
366 |
+
" ),\n",
|
367 |
+
" max_width=800,\n",
|
368 |
+
" max_height=800,\n",
|
369 |
+
" sizing_mode=\"stretch_width\",\n",
|
370 |
+
")"
|
371 |
+
]
|
372 |
+
},
|
373 |
+
{
|
374 |
+
"cell_type": "markdown",
|
375 |
+
"metadata": {},
|
376 |
+
"source": [
|
377 |
+
"### Test"
|
378 |
+
]
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"cell_type": "code",
|
382 |
+
"execution_count": null,
|
383 |
+
"metadata": {},
|
384 |
+
"outputs": [],
|
385 |
+
"source": [
|
386 |
+
"pn.Row(sidebar, main)"
|
387 |
+
]
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"cell_type": "markdown",
|
391 |
+
"metadata": {},
|
392 |
+
"source": [
|
393 |
+
"## Render"
|
394 |
]
|
395 |
},
|
396 |
{
|
|
|
398 |
"execution_count": null,
|
399 |
"metadata": {},
|
400 |
"outputs": [],
|
401 |
+
"source": [
|
402 |
+
"template.sidebar.append(sidebar)\n",
|
403 |
+
"template.main.append(main)\n",
|
404 |
+
"template.servable()"
|
405 |
+
]
|
406 |
}
|
407 |
],
|
408 |
"metadata": {
|