[pre-commit.ci] pre-commit autoupdate (#184)

* [pre-commit.ci] pre-commit autoupdate updates: - [github.com/kynan/nbstripout: 0.6.1 → 0.7.1](kynan/nbstripout@0.6.1...0.7.1) * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci --------- Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
ssciwr · Feb 15, 2024 · fcb2d55 · fcb2d55
1 parent b4aae93
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diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/kynan/nbstripout
-    rev: 0.6.1
+    rev: 0.7.1
     hooks:
     - id: nbstripout
       files: ".ipynb"

diff --git a/ammico/notebooks/cropposts.ipynb b/ammico/notebooks/cropposts.ipynb
@@ -2,15 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "b25986d7",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Crop posts from social media posts images"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "c8a5a491",
+   "id": "1",
    "metadata": {},
    "source": [
     "Crop posts from social media posts images, to keep import text informations from social media posts images.\n",
@@ -20,7 +20,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "70ffb7e2",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -51,7 +51,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5ae02c45",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e7b8127f",
+   "id": "4",
    "metadata": {},
    "source": [
     "The cropping is carried out by finding reference images on the image to be cropped. If a reference matches a region on the image, then everything below the matched region is removed. Manually look at a reference and an example post with the code below."
@@ -73,7 +73,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d04d0e86",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "49a11f61",
+   "id": "6",
    "metadata": {},
    "source": [
     "You can now crop the image and check on the way that everything looks fine. `plt_match` will plot the matches on the image and below which line content will be cropped; `plt_crop` will plot the cropped text part of the social media post with the comments removed; `plt_image` will plot the image part of the social media post if applicable."
@@ -105,7 +105,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "71850d9d",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -119,7 +119,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1929e549",
+   "id": "8",
    "metadata": {},
    "source": [
     "Batch crop images from the image folder given in `crop_dir`. The cropped images will save in `save_crop_dir` folder with the same file name as the original file. The reference images with the items to match are provided in `ref_dir`.\n",
@@ -130,7 +130,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "eef89291",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [

diff --git a/ammico/notebooks/facial_expressions.ipynb b/ammico/notebooks/facial_expressions.ipynb
@@ -3,7 +3,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "d2c4d40d-8aca-4024-8d19-a65c4efe825d",
+   "id": "0",
    "metadata": {},
    "source": [
     "# Facial Expression recognition with DeepFace"
@@ -12,7 +12,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "51f8888b-d1a3-4b85-a596-95c0993fa192",
+   "id": "1",
    "metadata": {},
    "source": [
     "Facial expressions can be detected using [DeepFace](https://github.com/serengil/deepface) and [RetinaFace](https://github.com/serengil/retinaface).\n",
@@ -25,7 +25,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "50c1c1c7",
+   "id": "2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b21e52a5-d379-42db-aae6-f2ab9ed9a369",
+   "id": "3",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -60,7 +60,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "a2bd2153",
+   "id": "4",
    "metadata": {},
    "source": [
     "We select a subset of image files to try facial expression detection on, see the `limit` keyword. The `find_files` function finds image files within a given directory and initialize the main dictionary that contains all information for the images and is updated through each subsequent analysis::"
@@ -69,7 +69,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "afe7e638-f09d-47e7-9295-1c374bd64c53",
+   "id": "5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -84,7 +84,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "a9372561",
+   "id": "6",
    "metadata": {},
    "source": [
     "To check the analysis, you can inspect the analyzed elements here. Loading the results takes a moment, so please be patient. If you are sure of what you are doing, you can skip this and directly export a csv file in the step below.\n",
@@ -94,7 +94,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "992499ed-33f1-4425-ad5d-738cf565d175",
+   "id": "7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -105,7 +105,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "6f974341",
+   "id": "8",
    "metadata": {},
    "source": [
     "Instead of inspecting each of the images, you can also directly carry out the analysis and export the result into a csv. This may take a while depending on how many images you have loaded."
@@ -114,7 +114,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6f97c7d0",
+   "id": "9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -125,7 +125,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "174357b1",
+   "id": "10",
    "metadata": {},
    "source": [
     "These steps are required to convert the dictionary of dictionarys into a dictionary with lists, that can be converted into a pandas dataframe and exported to a csv file."
@@ -134,7 +134,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "604bd257",
+   "id": "11",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -144,7 +144,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "8373d9f8",
+   "id": "12",
    "metadata": {},
    "source": [
     "Check the dataframe:"
@@ -153,7 +153,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "aa4b518a",
+   "id": "13",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -163,7 +163,7 @@
   {
    "attachments": {},
    "cell_type": "markdown",
-   "id": "579cd59f",
+   "id": "14",
    "metadata": {},
    "source": [
     "Write the csv file - here you should provide a file path and file name for the csv file to be written."
@@ -172,7 +172,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4618decb",
+   "id": "15",
    "metadata": {},
    "outputs": [],
    "source": [