{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Supp. Figure 2 - Examples of WNet3D losses, and output during training\n", "\n", "- Goal : show the output of the WNet3D during training, and the corresponding losses\n", "- The ``take_output_screenshots`` notebook was used to generate the screenshots during training" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Warning: Saturation in 0.9508196721311476 is too low or too high in hex color 7209B7\n", "Plot parameters (set in plots.py) : \n", "- COLORMAP : \u001b[38;2;76;201;240m█\u001b[0m\u001b[38;2;67;97;238m█\u001b[0m\u001b[38;2;114;9;183m█\u001b[0m\u001b[38;2;247;37;133m█\u001b[0m\u001b[38;2;255;77;0m█\u001b[0m\u001b[38;2;255;122;0m█\u001b[0m\u001b[38;2;240;165;0m█\u001b[0m\u001b[38;2;255;215;0m█\u001b[0m\n", "- DPI : 200\n", "- Data path : C:\\Users\\Cyril\\Desktop\\Code\\CELLSEG_BENCHMARK\n", "- Font size : 20\n", "- Title font size : 25.0\n", "- Label font size : 20.0\n" ] } ], "source": [ "import pandas as pd\n", "import sys\n", "sys.path.append(\"../..\")\n", "\n", "from utils import *\n", "from plots import *\n", "show_params()\n", "#################\n", "SAVE_PLOTS_AS_PNG = False\n", "SAVE_PLOTS_AS_SVG = True" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "%load_ext autoreload\n", "%autoreload 2" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loss values" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | SoftNCuts loss | \n", "Reconstruction loss | \n", "Weighted sum of losses | \n", "
---|---|---|---|
Epoch | \n", "\n", " | \n", " | \n", " |
1 | \n", "0.99227 | \n", "57.08382 | \n", "29.03805 | \n", "
2 | \n", "0.99046 | \n", "45.87604 | \n", "23.43325 | \n", "
3 | \n", "0.92455 | \n", "42.65216 | \n", "21.78835 | \n", "
4 | \n", "0.75902 | \n", "40.94435 | \n", "20.85169 | \n", "
5 | \n", "0.66575 | \n", "39.98960 | \n", "20.32768 | \n", "
6 | \n", "0.60914 | \n", "39.26025 | \n", "19.93469 | \n", "
7 | \n", "0.58295 | \n", "38.63013 | \n", "19.60654 | \n", "
8 | \n", "0.58262 | \n", "38.05232 | \n", "19.31747 | \n", "
9 | \n", "0.56323 | \n", "37.59191 | \n", "19.07757 | \n", "
10 | \n", "0.54814 | \n", "37.17325 | \n", "18.86069 | \n", "
11 | \n", "0.52946 | \n", "36.81464 | \n", "18.67205 | \n", "
12 | \n", "0.52598 | \n", "36.46110 | \n", "18.49354 | \n", "
13 | \n", "0.51152 | \n", "36.14809 | \n", "18.32981 | \n", "
14 | \n", "0.49954 | \n", "35.84817 | \n", "18.17385 | \n", "
15 | \n", "0.48920 | \n", "35.58164 | \n", "18.03542 | \n", "
16 | \n", "0.47675 | \n", "35.31505 | \n", "17.89590 | \n", "
17 | \n", "0.46733 | \n", "35.06290 | \n", "17.76511 | \n", "
18 | \n", "0.45689 | \n", "34.82457 | \n", "17.64073 | \n", "
19 | \n", "0.44603 | \n", "34.59145 | \n", "17.51874 | \n", "
20 | \n", "0.43645 | \n", "34.34674 | \n", "17.39160 | \n", "
21 | \n", "0.42316 | \n", "34.11471 | \n", "17.26893 | \n", "
22 | \n", "0.41604 | \n", "33.90068 | \n", "17.15836 | \n", "
23 | \n", "0.40337 | \n", "33.66850 | \n", "17.03593 | \n", "
24 | \n", "0.39882 | \n", "33.46028 | \n", "16.92955 | \n", "
25 | \n", "0.38790 | \n", "33.24519 | \n", "16.81654 | \n", "
26 | \n", "0.37429 | \n", "33.03520 | \n", "16.70475 | \n", "
27 | \n", "0.37117 | \n", "32.82695 | \n", "16.59906 | \n", "
28 | \n", "0.36206 | \n", "32.62820 | \n", "16.49513 | \n", "
29 | \n", "0.35596 | \n", "32.40600 | \n", "16.38098 | \n", "
30 | \n", "0.34413 | \n", "32.19054 | \n", "16.26733 | \n", "
31 | \n", "0.33634 | \n", "32.00090 | \n", "16.16862 | \n", "
32 | \n", "0.33110 | \n", "31.80333 | \n", "16.06721 | \n", "
33 | \n", "0.32767 | \n", "31.58601 | \n", "15.95684 | \n", "
34 | \n", "0.32160 | \n", "31.38450 | \n", "15.85305 | \n", "
35 | \n", "0.31506 | \n", "31.19447 | \n", "15.75477 | \n", "
36 | \n", "0.30943 | \n", "30.99892 | \n", "15.65417 | \n", "
37 | \n", "0.30781 | \n", "30.79648 | \n", "15.55215 | \n", "
38 | \n", "0.29929 | \n", "30.62829 | \n", "15.46379 | \n", "
39 | \n", "0.29920 | \n", "30.42325 | \n", "15.36122 | \n", "
40 | \n", "0.28847 | \n", "30.21615 | \n", "15.25231 | \n", "
41 | \n", "0.28418 | \n", "30.03862 | \n", "15.16140 | \n", "
42 | \n", "0.27881 | \n", "29.85732 | \n", "15.06807 | \n", "
43 | \n", "0.27991 | \n", "29.66614 | \n", "14.97303 | \n", "
44 | \n", "0.27281 | \n", "29.46947 | \n", "14.87114 | \n", "
45 | \n", "0.26895 | \n", "29.29379 | \n", "14.78137 | \n", "
46 | \n", "0.27796 | \n", "29.12376 | \n", "14.70086 | \n", "
47 | \n", "0.26320 | \n", "28.94697 | \n", "14.60509 | \n", "
48 | \n", "0.25966 | \n", "28.74820 | \n", "14.50393 | \n", "
49 | \n", "0.25830 | \n", "28.56196 | \n", "14.41013 | \n", "
50 | \n", "0.24921 | \n", "28.38370 | \n", "14.31645 | \n", "