jreji/RestNet
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websockets-10.4 yarl-1.8.2\n"129 ]130 }131 ],132 "source": [133 "!pip install gradio\n",134 "from fastai.vision.all import *\n",135 "import gradio as gr"136 ]137 },138 {139 "cell_type": "markdown",140 "id": "583662a9",141 "metadata": {},142 "source": [143 "# Train resnet50 Neural Net on the pet images "144 ]145 },146 {147 "cell_type": "code",148 "execution_count": 2,149 "id": "b4a28ca9",150 "metadata": {},151 "outputs": [152 {153 "name": "stderr",154 "output_type": "stream",155 "text": [156 "/Users/joelreji/opt/anaconda3/lib/python3.9/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead.\n",157 " warnings.warn(\n",158 "/Users/joelreji/opt/anaconda3/lib/python3.9/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=ResNet50_Weights.IMAGENET1K_V1`. You can also use `weights=ResNet50_Weights.DEFAULT` to get the most up-to-date weights.\n",159 " warnings.warn(msg)\n",160 "[W NNPACK.cpp:53] Could not initialize NNPACK! Reason: Unsupported hardware.\n"161 ]162 },163 {164 "data": {165 "text/html": [166 "\n",167 "<style>\n",168 " /* Turns off some styling */\n",169 " progress {\n",170 " /* gets rid of default border in Firefox and Opera. */\n",171 " border: none;\n",172 " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",173 " background-size: auto;\n",174 " }\n",175 " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",176 " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",177 " }\n",178 " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",179 " background: #F44336;\n",180 " }\n",181 "</style>\n"182 ],183 "text/plain": [184 "<IPython.core.display.HTML object>"185 ]186 },187 "metadata": {},188 "output_type": "display_data"189 },190 {191 "data": {192 "text/html": [193 "<table border=\"1\" class=\"dataframe\">\n",194 " <thead>\n",195 " <tr style=\"text-align: left;\">\n",196 " <th>epoch</th>\n",197 " <th>train_loss</th>\n",198 " <th>valid_loss</th>\n",199 " <th>accuracy</th>\n",200 " <th>time</th>\n",201 " </tr>\n",202 " </thead>\n",203 " <tbody>\n",204 " <tr>\n",205 " <td>0</td>\n",206 " <td>1.007373</td>\n",207 " <td>0.315782</td>\n",208 " <td>0.894452</td>\n",209 " <td>19:25</td>\n",210 " </tr>\n",211 " </tbody>\n",212 "</table>"213 ],214 "text/plain": [215 "<IPython.core.display.HTML object>"216 ]217 },218 "metadata": {},219 "output_type": "display_data"220 },221 {222 "data": {223 "text/html": [224 "\n",225 "<style>\n",226 " /* Turns off some styling */\n",227 " progress {\n",228 " /* gets rid of default border in Firefox and Opera. */\n",229 " border: none;\n",230 " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",231 " background-size: auto;\n",232 " }\n",233 " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",234 " background: repeating-linear-gradient(45deg, #7e7e7e, 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[281 "path = untar_data(URLs.PETS)\n",282 "dls = ImageDataLoaders.from_name_re(path, get_image_files(path/'images'), pat='(.+)_\\d+.jpg', item_tfms=Resize(460), \n",283 " batch_tfms=aug_transforms(size=224, min_scale=0.75))\n",284 "learn = vision_learner(dls, models.resnet50, metrics=accuracy)\n",285 "learn.fine_tune(1)\n",286 "learn.path = Path('.')\n",287 "learn.export()"288 ]289 },290 {291 "cell_type": "markdown",292 "id": "5d353326",293 "metadata": {},294 "source": [295 "# Grab pickle file so you dont have to rerun model"296 ]297 },298 {299 "cell_type": "code",300 "execution_count": 5,301 "id": "b821446f",302 "metadata": {},303 "outputs": [],304 "source": [305 "learn = load_learner('export.pkl')"306 ]307 },308 {309 "cell_type": "markdown",310 "id": "97e5aaac",311 "metadata": {},312 "source": [313 "## Function to predict"314 ]315 },316 {317 "cell_type": "code",318 "execution_count": 6,319 "id": "28062741",320 "metadata": {},321 "outputs": [],322 "source": [323 "labels = learn.dls.vocab\n",324 "def predict(img):\n",325 " img = PILImage.create(img)\n",326 " pred,pred_idx,probs = learn.predict(img)\n",327 " return {labels[i]: float(probs[i]) for i in range(len(labels))}"328 ]329 },330 {331 "cell_type": "code",332 "execution_count": 8,333 "id": "47e8248c",334 "metadata": {},335 "outputs": [336 {337 "name": "stderr",338 "output_type": "stream",339 "text": [340 "/Users/joelreji/opt/anaconda3/lib/python3.9/site-packages/gradio/inputs.py:257: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",341 " warnings.warn(\n",342 "/Users/joelreji/opt/anaconda3/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",343 " warnings.warn(value)\n",344 "/Users/joelreji/opt/anaconda3/lib/python3.9/site-packages/gradio/outputs.py:197: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",345 " warnings.warn(\n",346 "/Users/joelreji/opt/anaconda3/lib/python3.9/site-packages/gradio/deprecation.py:40: UserWarning: The 'type' parameter has been deprecated. Use the Number component instead.\n",347 " warnings.warn(value)\n"348 ]349 },350 {351 "name": "stdout",352 "output_type": "stream",353 "text": [354 "Running on local URL: http://127.0.0.1:7860\n",355 "Running on public URL: https://b041567a-e2e3-4a3c.gradio.live\n",356 "\n",357 "This share link expires in 72 hours. For free permanent hosting and GPU upgrades (NEW!), check out Spaces: https://huggingface.co/spaces\n"358 ]359 },360 {361 "data": {362 "text/html": [363 "<div><iframe src=\"https://b041567a-e2e3-4a3c.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"364 ],365 "text/plain": [366 "<IPython.core.display.HTML object>"367 ]368 },369 "metadata": {},370 "output_type": "display_data"371 },372 {373 "data": {374 "text/plain": []375 },376 "execution_count": 8,377 "metadata": {},378 "output_type": "execute_result"379 },380 {381 "data": {382 "text/html": [383 "\n",384 "<style>\n",385 " /* Turns off some styling */\n",386 " progress {\n",387 " /* gets rid of default border in Firefox and Opera. */\n",388 " border: none;\n",389 " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",390 " background-size: auto;\n",391 " }\n",392 " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",393 " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",394 " }\n",395 " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",396 " background: #F44336;\n",397 " }\n",398 "</style>\n"399 ],400 "text/plain": [401 "<IPython.core.display.HTML object>"402 ]403 },404 "metadata": {},405 "output_type": "display_data"406 },407 {408 "data": {409 "text/html": [],410 "text/plain": [411 "<IPython.core.display.HTML object>"412 ]413 },414 "metadata": {},415 "output_type": "display_data"416 },417 {418 "data": {419 "text/html": [420 "\n",421 "<style>\n",422 " /* Turns off some styling */\n",423 " progress {\n",424 " /* gets rid of default border in Firefox and Opera. */\n",425 " border: none;\n",426 " /* Needs to be in here for Safari polyfill so background images work as expected. */\n",427 " background-size: auto;\n",428 " }\n",429 " progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",430 " background: repeating-linear-gradient(45deg, #7e7e7e, #7e7e7e 10px, #5c5c5c 10px, #5c5c5c 20px);\n",431 " }\n",432 " .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",433 " background: #F44336;\n",434 " }\n",435 "</style>\n"436 ],437 "text/plain": [438 "<IPython.core.display.HTML object>"439 ]440 },441 "metadata": {},442 "output_type": "display_data"443 },444 {445 "data": {446 "text/html": [],447 "text/plain": [448 "<IPython.core.display.HTML object>"449 ]450 },451 "metadata": {},452 "output_type": "display_data"453 }454 ],455 "source": [456 "gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)"457 ]458 },459 {460 "cell_type": "code",461 "execution_count": null,462 "id": "6636da82",463 "metadata": {},464 "outputs": [],465 "source": []466 }467 ],468 "metadata": {469 "kernelspec": {470 "display_name": "Python 3",471 "language": "python",472 "name": "python3"473 },474 "language_info": {475 "codemirror_mode": {476 "name": "ipython",477 "version": 3478 },479 "file_extension": ".py",480 "mimetype": "text/x-python",481 "name": "python",482 "nbconvert_exporter": "python",483 "pygments_lexer": "ipython3",484 "version": "3.9.6 (default, Oct 18 2022, 12:41:40) \n[Clang 14.0.0 (clang-1400.0.29.202)]"485 },486 "vscode": {487 "interpreter": {488 "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"489 }490 }491 },492 "nbformat": 4,493 "nbformat_minor": 5494}495