Spaces:
Sleeping
Sleeping
dill way
Browse files- .DS_Store +0 -0
- .ipynb_checkpoints/classifier-checkpoint.ipynb +6 -0
- app.py +3 -1
- classifier.ipynb +304 -0
- modeltest.pkl → model.pkl +2 -2
.DS_Store
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Binary files a/.DS_Store and b/.DS_Store differ
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.ipynb_checkpoints/classifier-checkpoint.ipynb
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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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app.py
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from fastai.vision.all import *
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import gradio as gr
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def is_cat(x): return x[0].isupper()
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learn = load_learner('
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categories = ('Dog', 'Cat')
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from fastai.vision.all import *
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import gradio as gr
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import dill
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def is_cat(x): return x[0].isupper()
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learn = load_learner('model.pkl', pickle_module=dill)
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categories = ('Dog', 'Cat')
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classifier.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "bf596b85",
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"metadata": {},
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"outputs": [],
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"source": [
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"!pip install -Uqq fastai"
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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": 3,
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"id": "f6529ac6",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"/Users/devudilip/projects/AI/fastai_pet_classifier\r\n"
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]
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}
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],
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"source": [
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"!pwd"
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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": 11,
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"id": "0473c217",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"fastai: 2.8.0\n",
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"fastcore: 1.8.0\n",
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"torch: 2.4.1\n"
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]
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}
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],
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"source": [
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"import fastai\n",
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"import fastcore\n",
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"import torch\n",
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"\n",
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"print(f\"fastai: {fastai.__version__}\")\n",
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"print(f\"fastcore: {fastcore.__version__}\")\n",
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"print(f\"torch: {torch.__version__}\")"
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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": 13,
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"id": "15b4cdfd",
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"metadata": {},
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"outputs": [],
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"source": [
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"from fastai.vision.all import *\n",
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"import dill"
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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": 5,
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"id": "399533a7",
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"metadata": {},
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"outputs": [],
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"source": [
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"path = untar_data(URLs.PETS)/'images'"
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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": 6,
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"id": "51e0bbe2",
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"metadata": {},
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"outputs": [],
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"source": [
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"def is_cat(x): return x[0].isupper() "
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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": 7,
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"id": "915cbf12",
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"metadata": {},
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"outputs": [],
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"source": [
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"dls = ImageDataLoaders.from_name_func('.',\n",
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" get_image_files(path), valid_pct=0.2, seed=42,\n",
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" label_func=is_cat,\n",
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" item_tfms=Resize(192))"
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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": 8,
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"id": "9bae55cc",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Downloading: \"https://download.pytorch.org/models/resnet18-f37072fd.pth\" to /Users/devudilip/.cache/torch/hub/checkpoints/resnet18-f37072fd.pth\n",
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"100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 44.7M/44.7M [00:09<00:00, 4.89MB/s]\n"
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]
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},
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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" }\n",
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" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: left;\">\n",
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" <th>epoch</th>\n",
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" <th>train_loss</th>\n",
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" <th>valid_loss</th>\n",
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" <th>error_rate</th>\n",
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" <th>time</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <td>0</td>\n",
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" <td>0.197639</td>\n",
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" <td>0.045730</td>\n",
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" <td>0.015562</td>\n",
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" <td>01:37</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" /* Turns off some styling */\n",
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" progress {\n",
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" /* gets rid of default border in Firefox and Opera. */\n",
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" border: none;\n",
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" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
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" background-size: auto;\n",
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" }\n",
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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" background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",
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" }\n",
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" .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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" background: #F44336;\n",
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" }\n",
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"</style>\n"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: left;\">\n",
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" <th>epoch</th>\n",
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" <th>train_loss</th>\n",
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" <th>valid_loss</th>\n",
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" <th>error_rate</th>\n",
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" <th>time</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <td>0</td>\n",
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" <td>0.078331</td>\n",
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" <td>0.054597</td>\n",
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" <td>0.018268</td>\n",
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" <td>02:22</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>1</td>\n",
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" <td>0.049279</td>\n",
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" <td>0.038220</td>\n",
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" <td>0.010149</td>\n",
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" <td>02:40</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <td>2</td>\n",
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" <td>0.023927</td>\n",
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" <td>0.026168</td>\n",
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" <td>0.008796</td>\n",
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" <td>02:56</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"learn = vision_learner(dls, resnet18, metrics=error_rate)\n",
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"learn.fine_tune(3)"
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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": 14,
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"id": "9119ee21",
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"metadata": {},
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"outputs": [],
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"source": [
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"learn.export('model.pkl', pickle_module=dill)"
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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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"id": "25a3e6c4",
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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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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.9"
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+
},
|
288 |
+
"toc": {
|
289 |
+
"base_numbering": 1,
|
290 |
+
"nav_menu": {},
|
291 |
+
"number_sections": true,
|
292 |
+
"sideBar": true,
|
293 |
+
"skip_h1_title": false,
|
294 |
+
"title_cell": "Table of Contents",
|
295 |
+
"title_sidebar": "Contents",
|
296 |
+
"toc_cell": false,
|
297 |
+
"toc_position": {},
|
298 |
+
"toc_section_display": true,
|
299 |
+
"toc_window_display": false
|
300 |
+
}
|
301 |
+
},
|
302 |
+
"nbformat": 4,
|
303 |
+
"nbformat_minor": 5
|
304 |
+
}
|
modeltest.pkl → model.pkl
RENAMED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b53c746618a12fcedee7bb22ac77b0613b4a520bdfefb943040ebed2b0d278c5
|
3 |
+
size 47063358
|