diff --git "a/train.ipynb" "b/train.ipynb" new file mode 100644--- /dev/null +++ "b/train.ipynb" @@ -0,0 +1 @@ +{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.11","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"## Is it a bird?","metadata":{}},{"cell_type":"code","source":"#NB: Kaggle requires phone verification to use the internet or a GPU. If you haven't done that yet, the cell below will fail\n# This code is only here to check that your internet is enabled. It doesn't do anything else.\n# Here's a help thread on getting your phone number verified: https://www.kaggle.com/product-feedback/135367\n\nimport socket,warnings\ntry:\n socket.setdefaulttimeout(1)\n socket.socket(socket.AF_INET, socket.SOCK_STREAM).connect(('1.1.1.1', 53))\nexcept socket.error as ex: raise Exception(\"STOP: No internet. Click '>|' in top right and set 'Internet' switch to on\")","metadata":{"execution":{"iopub.status.busy":"2025-05-24T10:18:49.706778Z","iopub.execute_input":"2025-05-24T10:18:49.707086Z","iopub.status.idle":"2025-05-24T10:18:49.722259Z","shell.execute_reply.started":"2025-05-24T10:18:49.707056Z","shell.execute_reply":"2025-05-24T10:18:49.721629Z"},"trusted":true},"outputs":[],"execution_count":1},{"cell_type":"code","source":"# It's a good idea to ensure you're running the latest version of any libraries you need.\n# `!pip install -Uqq ` upgrades to the latest version of \n# NB: You can safely ignore any warnings or errors pip spits out about running as root or incompatibilities\nimport os\niskaggle = os.environ.get('KAGGLE_KERNEL_RUN_TYPE', '')\n\nif iskaggle:\n !pip install -Uqq fastai 'duckduckgo_search>=6.2'","metadata":{"_kg_hide-input":true,"_kg_hide-output":true,"execution":{"iopub.status.busy":"2025-05-24T10:18:49.723558Z","iopub.execute_input":"2025-05-24T10:18:49.723824Z"},"trusted":true},"outputs":[{"name":"stdout","text":"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m235.3/235.3 kB\u001b[0m \u001b[31m8.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.2/78.2 kB\u001b[0m \u001b[31m5.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.3/3.3 MB\u001b[0m \u001b[31m66.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m4.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m0:00:01\u001b[0m00:01\u001b[0m\n\u001b[2K 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"}}},{"cell_type":"markdown","source":"But today, we can do exactly that, in just a few minutes, using entirely free resources!\n\nThe basic steps we'll take are:\n\n1. Use DuckDuckGo to search for images of \"bird photos\"\n1. Use DuckDuckGo to search for images of \"forest photos\"\n1. Fine-tune a pretrained neural network to recognise these two groups\n1. Try running this model on a picture of a bird and see if it works.","metadata":{}},{"cell_type":"markdown","source":"## Step 1: Download images of birds and non-birds","metadata":{}},{"cell_type":"code","source":"from duckduckgo_search import DDGS #DuckDuckGo has changed the api so we need to update \nfrom fastcore.all import *\n\ndef search_images(keywords, max_images=200): return L(DDGS().images(keywords, max_results=max_images)).itemgot('image')\nimport time, json","metadata":{"_kg_hide-input":true,"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Let's start by searching for a bird photo and seeing what kind of result we get. We'll start by getting URLs from a search:","metadata":{}},{"cell_type":"code","source":"#NB: `search_images` depends on duckduckgo.com, which doesn't always return correct responses.\n# If you get a JSON error, just try running it again (it may take a couple of tries).\nurls = search_images('bird photos', max_images=1)\nurls[0]","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"...and then download a URL and take a look at it:","metadata":{}},{"cell_type":"code","source":"from fastdownload import download_url\ndest = 'bird.jpg'\ndownload_url(urls[0], dest, show_progress=False)\n\nfrom fastai.vision.all import *\nim = Image.open(dest)\nim.to_thumb(256,256)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"print(f\"Python version: {sys.version}\")\nprint(f\"Torch version: {torch.__version__}\")\nprint(f\"Fastai version: {fastai.__version__}\")","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Now let's do the same with \"forest photos\":","metadata":{}},{"cell_type":"code","source":"download_url(search_images('forest photos', max_images=1)[0], 'forest.jpg', show_progress=False)\nImage.open('forest.jpg').to_thumb(256,256)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Our searches seem to be giving reasonable results, so let's grab a few examples of each of \"bird\" and \"forest\" photos, and save each group of photos to a different folder:","metadata":{}},{"cell_type":"code","source":"searches = 'forest','bird'\npath = Path('bird_or_not')\n\nfor o in searches:\n dest = (path/o)\n dest.mkdir(exist_ok=True, parents=True)\n download_images(dest, urls=search_images(f'{o} photo'))\n time.sleep(5)\n resize_images(path/o, max_size=400, dest=path/o)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"## Step 2: Train our model","metadata":{}},{"cell_type":"markdown","source":"Some photos might not download correctly which could cause our model training to fail, so we'll remove them:","metadata":{}},{"cell_type":"code","source":"failed = verify_images(get_image_files(path))\nfailed.map(Path.unlink)\nlen(failed)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"To train a model, we'll need `DataLoaders`, which is an object that contains a *training set* (the images used to create a model) and a *validation set* (the images used to check the accuracy of a model -- not used during training). In `fastai` we can create that easily using a `DataBlock`, and view sample images from it:","metadata":{}},{"cell_type":"code","source":"dls = DataBlock(\n blocks=(ImageBlock, CategoryBlock), \n get_items=get_image_files, \n splitter=RandomSplitter(valid_pct=0.2, seed=42),\n get_y=parent_label,\n item_tfms=[Resize(192, method='squish')]\n).dataloaders(path, bs=32)\n\ndls.show_batch(max_n=6)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Here what each of the `DataBlock` parameters means:\n\n blocks=(ImageBlock, CategoryBlock),\n\nThe inputs to our model are images, and the outputs are categories (in this case, \"bird\" or \"forest\").\n\n get_items=get_image_files, \n\nTo find all the inputs to our model, run the `get_image_files` function (which returns a list of all image files in a path).\n\n splitter=RandomSplitter(valid_pct=0.2, seed=42),\n\nSplit the data into training and validation sets randomly, using 20% of the data for the validation set.\n\n get_y=parent_label,\n\nThe labels (`y` values) is the name of the `parent` of each file (i.e. the name of the folder they're in, which will be *bird* or *forest*).\n\n item_tfms=[Resize(192, method='squish')]\n\nBefore training, resize each image to 192x192 pixels by \"squishing\" it (as opposed to cropping it).","metadata":{}},{"cell_type":"markdown","source":"Now we're ready to train our model. The fastest widely used computer vision model is `resnet18`. You can train this in a few minutes, even on a CPU! (On a GPU, it generally takes under 10 seconds...)\n\n`fastai` comes with a helpful `fine_tune()` method which automatically uses best practices for fine tuning a pre-trained model, so we'll use that.","metadata":{}},{"cell_type":"code","source":"learn = vision_learner(dls, resnet18, metrics=error_rate)\nlearn.fine_tune(10)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Generally when I run this I see 100% accuracy on the validation set (although it might vary a bit from run to run).\n\n\"Fine-tuning\" a model means that we're starting with a model someone else has trained using some other dataset (called the *pretrained model*), and adjusting the weights a little bit so that the model learns to recognise your particular dataset. In this case, the pretrained model was trained to recognise photos in *imagenet*, and widely-used computer vision dataset with images covering 1000 categories) For details on fine-tuning and why it's important, check out the [free fast.ai course](https://course.fast.ai/).","metadata":{}},{"cell_type":"markdown","source":"## Step 3: Use our model (and build your own!)","metadata":{}},{"cell_type":"markdown","source":"Let's see what our model thinks about that bird we downloaded at the start:","metadata":{}},{"cell_type":"code","source":"is_bird,_,probs = learn.predict(PILImage.create('bird.jpg'))\nprint(f\"This is a: {is_bird}.\")\nprint(f\"Probability it's a bird: {probs[0]:.4f}\")","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Good job, resnet18. :)\n\nSo, as you see, in the space of a few years, creating computer vision classification models has gone from \"so hard it's a joke\" to \"trivially easy and free\"!\n\nIt's not just in computer vision. Thanks to deep learning, computers can now do many things which seemed impossible just a few years ago, including [creating amazing artworks](https://openai.com/dall-e-2/), and [explaining jokes](https://www.datanami.com/2022/04/22/googles-massive-new-language-model-can-explain-jokes/). It's moving so fast that even experts in the field have trouble predicting how it's going to impact society in the coming years.\n\nOne thing is clear -- it's important that we all do our best to understand this technology, because otherwise we'll get left behind!","metadata":{}},{"cell_type":"markdown","source":"Now it's your turn. Click \"Copy & Edit\" and try creating your own image classifier using your own image searches!\n\nIf you enjoyed this, please consider clicking the \"upvote\" button in the top-right -- it's very encouraging to us notebook authors to know when people appreciate our work.","metadata":{}},{"cell_type":"code","source":"!rm -rf *","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"searches = 'amanite','bolet', 'morille', 'truffe'\npath = Path('champs')\n\nfor o in searches:\n dest = (path/o)\n dest.mkdir(exist_ok=True, parents=True)\n download_images(dest, urls=search_images(f'{o} photo'))\n time.sleep(5)\n resize_images(path/o, max_size=400, dest=path/o)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"failed = verify_images(get_image_files(path))\nfailed.map(Path.unlink)\nlen(failed)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"dls = DataBlock(\n blocks=(ImageBlock, CategoryBlock), \n get_items=get_image_files, \n splitter=RandomSplitter(valid_pct=0.2, seed=42),\n get_y=parent_label,\n item_tfms=[Resize(192, method='squish')]\n).dataloaders(path, bs=32)\n\ndls.show_batch(max_n=9)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"learn = vision_learner(dls, resnet50, metrics=error_rate)\nlearn.fine_tune(5)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"urls = search_images('champignon poisonous', max_images=1)\ndest = 'champ.jpg'\ndownload_url(urls[0], dest, show_progress=False)\n\nim = Image.open(dest)\nim.to_thumb(256,256)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"which_champ,_,probs = learn.predict(PILImage.create('champ.jpg'))\nprint(f\"This is a: {which_champ} with probability {probs[searches.index(which_champ)]:.4f}\")","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"learn.export('model_champi.pkl')","metadata":{"trusted":true},"outputs":[],"execution_count":null}]} \ No newline at end of file