0.8.1

Author: Immanuel Bayer

CHANGELOG.md

@@ -7,9 +7,26 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 
 ## Unreleased
 
+## [0.8.1] - 2022-04-09
+
+### Changed
+- Refactored notebooks to use python to handle folder structure instead of linux commands by [Ítalo Epifânio](https://github.com/itepifanio).
+
+### Added
+- [tqdm](itlab.palaimon.io/products/ipyannotator/ipyannotator/-/merge_requests) dependency [Ítalo Epifânio](https://github.com/itepifanio).
+- Doc section explaining Ipyannotator dev dependencies [Ítalo Epifânio](https://github.com/itepifanio).
+
+## [0.8.0] - 2022-04-09
+
 ### Changed
-- Allow user to use labels without using directories.
-- Refactor Im2Im and Capture annotators to render any widget on grid menu.
+- Make the creation of new label classes more flexible and decouple it from the folder structure by [Ítalo Epifânio](https://github.com/itepifanio).
+- Refactored Im2Im and Capture annotators to render any widget on grid menu by [Ítalo Epifânio](https://github.com/itepifanio).
+- Replaced exception with warning when using the same file storage on multiple annotators by [Ítalo Epifânio](https://github.com/itepifanio).
+
+### Added
+- New `fit_canvas` option to adjust images to the size of the canvas by [Ítalo Epifânio](https://github.com/itepifanio).
+- Annotator step (explore, create, improve) can be recovered when using Ipyannotator API by [Ítalo Epifânio](https://github.com/itepifanio).
+- New documentation theme and structure by [Carlos Cerqueira](https://github.com/Carloscerq) and [Ítalo Epifânio](https://github.com/itepifanio).
 
 ## [0.7.0] - 2022-02-19
 

README.md

@@ -58,13 +58,14 @@ This library has been written in the [literate programming style](https://en.wik
 jupyter notebooks by [nbdev](https://www.fast.ai/2019/12/02/nbdev/). Please explore the jupyter notebooks in `nbs/` to learn more about
 the inner working of ipyannotator.
 
+The notebooks contains the development dependencies: 
+[pytest](https://docs.pytest.org/en/7.1.x/) and [ipytest](https://github.com/chmp/ipytest), 
+if you want to run the notebooks remove the tests or install the libraries mentioned.
 
 Also check out the following notebook for a more high level overview.
 
-- Tutorial demonstrating how ipyannotator can be seamlessly integrated in your
-    data science workflow. `nbs/08_tutorial_road_damage.ipynb`
-- [Recoding of jupytercon 2020](https://www.youtube.com/watch?v=jFAp1s1O8Hg) talk explaining the high level concepts / vision
-    of ipyannotator.
+- Tutorial demonstrating how ipyannotator can be seamlessly integrated in your data science workflow. `nbs/08_tutorial_road_damage.ipynb`
+- [Recoding of jupytercon 2020](https://www.youtube.com/watch?v=jFAp1s1O8Hg) talk explaining the high level concepts / vision of ipyannotator.
 
 ## Jupyter lab trouble shooting
 

docs/tutorials.rst

@@ -6,6 +6,10 @@ Ipyannotator uses tutorials to demonstrate how the library can be used.
 All tutorials are statically generated from jupyter notebooks. 
 All notebooks can be found on our `Github's repository <https://github.com/palaimon/ipyannotator/tree/main/nbs>`_
 
+The notebooks contains the development dependencies: 
+[pytest](https://docs.pytest.org/en/7.1.x/) and [ipytest](https://github.com/chmp/ipytest), 
+if you want to run the notebooks remove the tests or install the libraries mentioned.
+
 .. toctree::
    :maxdepth: 1
 

ipyannotator/__init__.py

@@ -1 +1 @@
-__version__ = "0.8.0"
+__version__ = "0.8.1"

nbs/01_helpers.ipynb

@@ -207,10 +207,18 @@
     "with open(annot_file, 'w') as f:\n",
     "    json.dump(annotations, f, indent=2)\n",
     "\n",
-    "reconstruct_class_images(fol, annot_file)\n",
-    "\n",
+    "reconstruct_class_images(fol, annot_file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#hide\n",
     "#check if generated\n",
-    "!ls {fol}"
+    "os.listdir(fol)"
    ]
   },
   {

nbs/01b_dataset_video.ipynb

@@ -492,7 +492,8 @@
    "outputs": [],
    "source": [
     "#hide\n",
-    "! ls {tmp_dir.name}/\"img\""
+    "import os\n",
+    "os.listdir(f'{tmp_dir.name}/img')"
    ]
   },
   {

nbs/01b_tutorial_image_classification.ipynb

@@ -28,7 +28,9 @@
    "outputs": [],
    "source": [
     "# hide\n",
+    "import os\n",
     "import json\n",
+    "import shutil\n",
     "import ipywidgets as widgets\n",
     "\n",
     "from pathlib import Path\n",
@@ -230,14 +232,18 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "dirpath = ''\n",
     "if dataset == DS.ARTIFICIAL_CLASSIFICATION:\n",
-    "    ! rm -rf data/artificial_classification/create_results\n",
+    "    dirpath = 'data/artificial_classification/create_results'\n",
     "elif dataset == DS.CIFAR10:\n",
-    "    ! rm -rf data/cifar10/create_results\n",
+    "    dirpath = 'data/cifar10/create_results'\n",
     "elif dataset == DS.OXFORD102:\n",
-    "    ! rm -rf data/oxford-102-flowers/create_results\n",
+    "    dirpath = 'data/oxford-102-flowers/create_results'\n",
     "elif dataset == DS.CUB200:\n",
-    "    ! rm -rf data/CUB_200_2011/create_results"
+    "    dirpath = 'data/CUB_200_2011/create_results'\n",
+    "\n",
+    "if os.path.exists(dirpath) and os.path.isdir(dirpath):\n",
+    "    shutil.rmtree(dirpath)"
    ]
   },
   {

nbs/01c_tutorial_bbox.ipynb

@@ -29,10 +29,9 @@
    "source": [
     "# hide\n",
     "import os\n",
-    "\n",
+    "import shutil\n",
     "import numpy as np\n",
     "import pandas as pd\n",
-    "from tqdm import tqdm\n",
     "import ipywidgets as widgets\n",
     "from pathlib import Path\n",
     "from IPython.display import JSON\n",
@@ -209,7 +208,9 @@
    "outputs": [],
    "source": [
     "if dataset == DS.ARTIFICIAL_DETECTION:\n",
-    "    ! rm -rf data/artificial_detection/create_results"
+    "    dirpath = 'data/artificial_detection/create_results'\n",
+    "    if os.path.exists(dirpath) and os.path.isdir(dirpath):\n",
+    "        shutil.rmtree(dirpath)"
    ]
   },
   {
@@ -273,7 +274,9 @@
    "outputs": [],
    "source": [
     "if dataset == DS.ARTIFICIAL_DETECTION:\n",
-    "    ! rm -rf data/artificial_detection/create_results/missed"
+    "    dirpath = 'data/artificial_detection/create_results/missed'\n",
+    "    if os.path.exists(dirpath) and os.path.isdir(dirpath):\n",
+    "        shutil.rmtree(dirpath)"
    ]
   },
   {

nbs/01d_tutorial_video_annotator.ipynb

@@ -31,7 +31,9 @@
    "outputs": [],
    "source": [
     "# hide\n",
+    "import os\n",
     "import json\n",
+    "import shutil\n",
     "from ipyannotator.annotator import Annotator\n",
     "from ipyannotator.base import Settings\n",
     "from ipyannotator.mltypes import InputImage, OutputVideoBbox, NoOutput\n",
@@ -199,7 +201,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "! rm -rf data/artificial/create_results"
+    "dirpath = 'data/artificial/create_results'\n",
+    "if os.path.exists(dirpath) and os.path.isdir(dirpath):\n",
+    "    shutil.rmtree(dirpath)"
    ]
   },
   {

nbs/03_storage.ipynb

@@ -247,8 +247,15 @@
    "source": [
     "# hide\n",
     "#generate imdir/classdir/class.jpg structure\n",
-    "\n",
-    "!mkdir -p ../data/test_step_down/{one,two,three}\n",
+    "subfolders = ['one', 'two', 'three']\n",
+    "for subfolder in subfolders:\n",
+    "    directory = '../data/test_step_down'\n",
+    "    if not os.path.exists(directory):\n",
+    "        os.mkdir(directory)\n",
+    "\n",
+    "    directory = f'{directory}/{subfolder}'\n",
+    "    if not os.path.exists(directory):\n",
+    "        os.mkdir(directory)\n",
     "\n",
     "from PIL import Image\n",
     "\n",