├── CITATION.cff
├── CLIP_GradCAM_Visualization.ipynb
├── CLIP_Patch_Detection.ipynb
├── CLIP_Zero_shot_Detector.ipynb
├── CLIP_reCAPTCHA.ipynb
├── LICENSE
└── README.md
/CITATION.cff:
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1 | cff-version: 0.0.1
2 | message: "If you use this software, please cite it as below."
3 | authors:
4 | - family-names: Zakka
5 | given-names: Kevin
6 | title: "A Playground for CLIP-like Models"
7 | version: 0.0.1
8 | date-released: 2021-07-24
9 | url: "https://github.com/kevinzakka/clip_playground"
10 |
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/CLIP_GradCAM_Visualization.ipynb:
--------------------------------------------------------------------------------
1 | {
2 | "cells": [
3 | {
4 | "cell_type": "markdown",
5 | "metadata": {
6 | "colab_type": "text",
7 | "id": "view-in-github"
8 | },
9 | "source": [
10 | "
"
11 | ]
12 | },
13 | {
14 | "cell_type": "markdown",
15 | "metadata": {
16 | "id": "QpPbEKLBmyX1"
17 | },
18 | "source": [
19 | "# CLIP GradCAM Colab\n",
20 | "\n",
21 | "This Colab notebook uses [GradCAM](https://arxiv.org/abs/1610.02391) on OpenAI's [CLIP](https://openai.com/blog/clip/) model to produce a heatmap highlighting which regions in an image activate the most to a given caption.\n",
22 | "\n",
23 | "**Note:** Currently only works with the ResNet variants of CLIP. ViT support coming soon."
24 | ]
25 | },
26 | {
27 | "cell_type": "code",
28 | "execution_count": 1,
29 | "metadata": {
30 | "cellView": "form",
31 | "id": "qQOvOhnKQ-Tu"
32 | },
33 | "outputs": [],
34 | "source": [
35 | "#@title Install dependencies\n",
36 | "\n",
37 | "#@markdown Please execute this cell by pressing the _Play_ button \n",
38 | "#@markdown on the left.\n",
39 | "\n",
40 | "#@markdown **Note**: This installs the software on the Colab \n",
41 | "#@markdown notebook in the cloud and not on your computer.\n",
42 | "\n",
43 | "%%capture\n",
44 | "!pip install ftfy regex tqdm matplotlib opencv-python scipy scikit-image\n",
45 | "!pip install git+https://github.com/openai/CLIP.git\n",
46 | "\n",
47 | "import urllib.request\n",
48 | "import numpy as np\n",
49 | "import torch\n",
50 | "import torch.nn.functional as F\n",
51 | "import matplotlib.pyplot as plt\n",
52 | "import clip\n",
53 | "from PIL import Image\n",
54 | "from scipy.ndimage import filters\n",
55 | "from torch import nn"
56 | ]
57 | },
58 | {
59 | "cell_type": "code",
60 | "execution_count": 2,
61 | "metadata": {
62 | "cellView": "form",
63 | "id": "caPbAhFlRBwT"
64 | },
65 | "outputs": [],
66 | "source": [
67 | "#@title Helper functions\n",
68 | "\n",
69 | "#@markdown Some helper functions for overlaying heatmaps on top\n",
70 | "#@markdown of images and visualizing with matplotlib.\n",
71 | "\n",
72 | "def normalize(x: np.ndarray) -> np.ndarray:\n",
73 | " # Normalize to [0, 1].\n",
74 | " x = x - x.min()\n",
75 | " if x.max() > 0:\n",
76 | " x = x / x.max()\n",
77 | " return x\n",
78 | "\n",
79 | "# Modified from: https://github.com/salesforce/ALBEF/blob/main/visualization.ipynb\n",
80 | "def getAttMap(img, attn_map, blur=True):\n",
81 | " if blur:\n",
82 | " attn_map = filters.gaussian_filter(attn_map, 0.02*max(img.shape[:2]))\n",
83 | " attn_map = normalize(attn_map)\n",
84 | " cmap = plt.get_cmap('jet')\n",
85 | " attn_map_c = np.delete(cmap(attn_map), 3, 2)\n",
86 | " attn_map = 1*(1-attn_map**0.7).reshape(attn_map.shape + (1,))*img + \\\n",
87 | " (attn_map**0.7).reshape(attn_map.shape+(1,)) * attn_map_c\n",
88 | " return attn_map\n",
89 | "\n",
90 | "def viz_attn(img, attn_map, blur=True):\n",
91 | " _, axes = plt.subplots(1, 2, figsize=(10, 5))\n",
92 | " axes[0].imshow(img)\n",
93 | " axes[1].imshow(getAttMap(img, attn_map, blur))\n",
94 | " for ax in axes:\n",
95 | " ax.axis(\"off\")\n",
96 | " plt.show()\n",
97 | " \n",
98 | "def load_image(img_path, resize=None):\n",
99 | " image = Image.open(img_path).convert(\"RGB\")\n",
100 | " if resize is not None:\n",
101 | " image = image.resize((resize, resize))\n",
102 | " return np.asarray(image).astype(np.float32) / 255."
103 | ]
104 | },
105 | {
106 | "cell_type": "code",
107 | "execution_count": 3,
108 | "metadata": {
109 | "cellView": "form",
110 | "id": "XziodsCqVC2A"
111 | },
112 | "outputs": [],
113 | "source": [
114 | "#@title GradCAM: Gradient-weighted Class Activation Mapping\n",
115 | "\n",
116 | "#@markdown Our gradCAM implementation registers a forward hook\n",
117 | "#@markdown on the model at the specified layer. This allows us\n",
118 | "#@markdown to save the intermediate activations and gradients\n",
119 | "#@markdown at that layer.\n",
120 | "\n",
121 | "#@markdown To visualize which parts of the image activate for\n",
122 | "#@markdown a given caption, we use the caption as the target\n",
123 | "#@markdown label and backprop through the network using the\n",
124 | "#@markdown image as the input.\n",
125 | "#@markdown In the case of CLIP models with resnet encoders,\n",
126 | "#@markdown we save the activation and gradients at the\n",
127 | "#@markdown layer before the attention pool, i.e., layer4.\n",
128 | "\n",
129 | "class Hook:\n",
130 | " \"\"\"Attaches to a module and records its activations and gradients.\"\"\"\n",
131 | "\n",
132 | " def __init__(self, module: nn.Module):\n",
133 | " self.data = None\n",
134 | " self.hook = module.register_forward_hook(self.save_grad)\n",
135 | " \n",
136 | " def save_grad(self, module, input, output):\n",
137 | " self.data = output\n",
138 | " output.requires_grad_(True)\n",
139 | " output.retain_grad()\n",
140 | " \n",
141 | " def __enter__(self):\n",
142 | " return self\n",
143 | " \n",
144 | " def __exit__(self, exc_type, exc_value, exc_traceback):\n",
145 | " self.hook.remove()\n",
146 | " \n",
147 | " @property\n",
148 | " def activation(self) -> torch.Tensor:\n",
149 | " return self.data\n",
150 | " \n",
151 | " @property\n",
152 | " def gradient(self) -> torch.Tensor:\n",
153 | " return self.data.grad\n",
154 | "\n",
155 | "\n",
156 | "# Reference: https://arxiv.org/abs/1610.02391\n",
157 | "def gradCAM(\n",
158 | " model: nn.Module,\n",
159 | " input: torch.Tensor,\n",
160 | " target: torch.Tensor,\n",
161 | " layer: nn.Module\n",
162 | ") -> torch.Tensor:\n",
163 | " # Zero out any gradients at the input.\n",
164 | " if input.grad is not None:\n",
165 | " input.grad.data.zero_()\n",
166 | " \n",
167 | " # Disable gradient settings.\n",
168 | " requires_grad = {}\n",
169 | " for name, param in model.named_parameters():\n",
170 | " requires_grad[name] = param.requires_grad\n",
171 | " param.requires_grad_(False)\n",
172 | " \n",
173 | " # Attach a hook to the model at the desired layer.\n",
174 | " assert isinstance(layer, nn.Module)\n",
175 | " with Hook(layer) as hook: \n",
176 | " # Do a forward and backward pass.\n",
177 | " output = model(input)\n",
178 | " output.backward(target)\n",
179 | "\n",
180 | " grad = hook.gradient.float()\n",
181 | " act = hook.activation.float()\n",
182 | " \n",
183 | " # Global average pool gradient across spatial dimension\n",
184 | " # to obtain importance weights.\n",
185 | " alpha = grad.mean(dim=(2, 3), keepdim=True)\n",
186 | " # Weighted combination of activation maps over channel\n",
187 | " # dimension.\n",
188 | " gradcam = torch.sum(act * alpha, dim=1, keepdim=True)\n",
189 | " # We only want neurons with positive influence so we\n",
190 | " # clamp any negative ones.\n",
191 | " gradcam = torch.clamp(gradcam, min=0)\n",
192 | "\n",
193 | " # Resize gradcam to input resolution.\n",
194 | " gradcam = F.interpolate(\n",
195 | " gradcam,\n",
196 | " input.shape[2:],\n",
197 | " mode='bicubic',\n",
198 | " align_corners=False)\n",
199 | " \n",
200 | " # Restore gradient settings.\n",
201 | " for name, param in model.named_parameters():\n",
202 | " param.requires_grad_(requires_grad[name])\n",
203 | " \n",
204 | " return gradcam"
205 | ]
206 | },
207 | {
208 | "cell_type": "code",
209 | "execution_count": 4,
210 | "metadata": {
211 | "cellView": "form",
212 | "colab": {
213 | "base_uri": "https://localhost:8080/",
214 | "height": 285
215 | },
216 | "id": "_bSzlC60WVkQ",
217 | "outputId": "f3781f8a-1993-49d0-ace1-a545beec61c3"
218 | },
219 | "outputs": [
220 | {
221 | "data": {
222 | "image/png": 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\n",
223 | "text/plain": [
224 | ""
225 | ]
226 | },
227 | "metadata": {
228 | "needs_background": "light",
229 | "tags": []
230 | },
231 | "output_type": "display_data"
232 | }
233 | ],
234 | "source": [
235 | "#@title Run\n",
236 | "\n",
237 | "#@markdown #### Image & Caption settings\n",
238 | "image_url = 'https://images2.minutemediacdn.com/image/upload/c_crop,h_706,w_1256,x_0,y_64/f_auto,q_auto,w_1100/v1554995050/shape/mentalfloss/516438-istock-637689912.jpg' #@param {type:\"string\"}\n",
239 | "\n",
240 | "image_caption = 'the cat' #@param {type:\"string\"}\n",
241 | "#@markdown ---\n",
242 | "#@markdown #### CLIP model settings\n",
243 | "clip_model = \"RN50\" #@param [\"RN50\", \"RN101\", \"RN50x4\", \"RN50x16\"]\n",
244 | "saliency_layer = \"layer4\" #@param [\"layer4\", \"layer3\", \"layer2\", \"layer1\"]\n",
245 | "#@markdown ---\n",
246 | "#@markdown #### Visualization settings\n",
247 | "blur = True #@param {type:\"boolean\"}\n",
248 | "\n",
249 | "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
250 | "model, preprocess = clip.load(clip_model, device=device, jit=False)\n",
251 | "\n",
252 | "# Download the image from the web.\n",
253 | "image_path = 'image.png'\n",
254 | "urllib.request.urlretrieve(image_url, image_path)\n",
255 | "\n",
256 | "image_input = preprocess(Image.open(image_path)).unsqueeze(0).to(device)\n",
257 | "image_np = load_image(image_path, model.visual.input_resolution)\n",
258 | "text_input = clip.tokenize([image_caption]).to(device)\n",
259 | "\n",
260 | "attn_map = gradCAM(\n",
261 | " model.visual,\n",
262 | " image_input,\n",
263 | " model.encode_text(text_input).float(),\n",
264 | " getattr(model.visual, saliency_layer)\n",
265 | ")\n",
266 | "attn_map = attn_map.squeeze().detach().cpu().numpy()\n",
267 | "\n",
268 | "viz_attn(image_np, attn_map, blur)"
269 | ]
270 | }
271 | ],
272 | "metadata": {
273 | "accelerator": "GPU",
274 | "colab": {
275 | "authorship_tag": "ABX9TyOFgJrUbydCsBVszpKX1bxs",
276 | "collapsed_sections": [],
277 | "include_colab_link": true,
278 | "name": "CLIP GradCAM Visualization ",
279 | "provenance": []
280 | },
281 | "kernelspec": {
282 | "display_name": "Python 3 (ipykernel)",
283 | "language": "python",
284 | "name": "python3"
285 | },
286 | "language_info": {
287 | "codemirror_mode": {
288 | "name": "ipython",
289 | "version": 3
290 | },
291 | "file_extension": ".py",
292 | "mimetype": "text/x-python",
293 | "name": "python",
294 | "nbconvert_exporter": "python",
295 | "pygments_lexer": "ipython3",
296 | "version": "3.8.10"
297 | }
298 | },
299 | "nbformat": 4,
300 | "nbformat_minor": 1
301 | }
302 |
--------------------------------------------------------------------------------
/CLIP_Patch_Detection.ipynb:
--------------------------------------------------------------------------------
1 | {
2 | "cells": [
3 | {
4 | "cell_type": "markdown",
5 | "metadata": {
6 | "colab_type": "text",
7 | "id": "view-in-github"
8 | },
9 | "source": [
10 | "
"
11 | ]
12 | },
13 | {
14 | "cell_type": "markdown",
15 | "metadata": {
16 | "id": "QpPbEKLBmyX1"
17 | },
18 | "source": [
19 | "# CLIP Patch Detection\n",
20 | "\n",
21 | "This Colab notebook demos crude object detection by spliting an image into patches and finding the highest patch-caption similarity in CLIP embedding space."
22 | ]
23 | },
24 | {
25 | "cell_type": "code",
26 | "execution_count": null,
27 | "metadata": {
28 | "cellView": "form",
29 | "id": "qQOvOhnKQ-Tu"
30 | },
31 | "outputs": [],
32 | "source": [
33 | "#@title Install dependencies\n",
34 | "\n",
35 | "#@markdown Please execute this cell by pressing the _Play_ button \n",
36 | "#@markdown on the left.\n",
37 | "\n",
38 | "#@markdown **Note**: This installs the software on the Colab \n",
39 | "#@markdown notebook in the cloud and not on your computer.\n",
40 | "\n",
41 | "%%capture\n",
42 | "!pip install ftfy regex tqdm matplotlib\n",
43 | "!pip install git+https://github.com/openai/CLIP.git\n",
44 | "\n",
45 | "import math\n",
46 | "import urllib.request\n",
47 | "import clip\n",
48 | "import matplotlib.pyplot as plt\n",
49 | "import numpy as np\n",
50 | "import torch\n",
51 | "from PIL import Image\n",
52 | "from torchvision import transforms"
53 | ]
54 | },
55 | {
56 | "cell_type": "code",
57 | "execution_count": null,
58 | "metadata": {
59 | "cellView": "form",
60 | "id": "caPbAhFlRBwT"
61 | },
62 | "outputs": [],
63 | "source": [
64 | "#@title Helper functions\n",
65 | "\n",
66 | "#@markdown Some helper functions for loading, patchifying and visualizing images.\n",
67 | "\n",
68 | "def load_image(img_path, resize=None, pil=False):\n",
69 | " image = Image.open(img_path).convert(\"RGB\")\n",
70 | " if resize is not None:\n",
71 | " image = image.resize((resize, resize))\n",
72 | " if pil:\n",
73 | " return image\n",
74 | " return np.asarray(image).astype(np.float32) / 255.\n",
75 | "\n",
76 | "def viz_patches(x, figsize=(20, 20), patch_idx=None, topk=None, t=5):\n",
77 | " # x: num_patches, 3, patch_size, patch_size\n",
78 | " n = x.shape[0]\n",
79 | " nrows = int(math.sqrt(n))\n",
80 | " _, axes = plt.subplots(nrows, nrows, figsize=figsize)\n",
81 | " for i, ax in enumerate(axes.flatten()): \n",
82 | " im = x[i].permute(1, 2, 0).numpy()\n",
83 | " im = (im * 255.).round().astype(np.uint8)\n",
84 | " if patch_idx is not None and i == patch_idx:\n",
85 | " im[0:t] = (255, 0, 0)\n",
86 | " im[im.shape[0]-t:] = (255, 0, 0)\n",
87 | " im[:, 0:t] = (255, 0, 0)\n",
88 | " im[:, im.shape[1]-t:] = (255, 0, 0)\n",
89 | " if topk is not None:\n",
90 | " if i in topk and i != patch_idx:\n",
91 | " im[0:t] = (255, 255, 0)\n",
92 | " im[im.shape[0]-t:] = (255, 255, 0)\n",
93 | " im[:, 0:t] = (255, 255, 0)\n",
94 | " im[:, im.shape[1]-t:] = (255, 255, 0)\n",
95 | " ax.imshow(im)\n",
96 | " ax.axis(\"off\")\n",
97 | " plt.show()\n",
98 | "\n",
99 | "def patchify(image_path, resolution, patch_size, patch_stride=None):\n",
100 | " img_tensor = transforms.ToTensor()(load_image(image_path, resolution, True))\n",
101 | " if patch_stride is None:\n",
102 | " patch_stride = patch_size\n",
103 | " patches = img_tensor.unfold(\n",
104 | " 1, patch_size, patch_stride).unfold(2, patch_size, patch_stride)\n",
105 | " patches = patches.reshape(3, -1, patch_size, patch_size).permute(1, 0, 2, 3)\n",
106 | " return patches # N, 3, patch_size, patch_size"
107 | ]
108 | },
109 | {
110 | "cell_type": "code",
111 | "execution_count": null,
112 | "metadata": {
113 | "cellView": "form",
114 | "colab": {
115 | "base_uri": "https://localhost:8080/",
116 | "height": 482
117 | },
118 | "id": "hwmmPfnuemkD",
119 | "outputId": "96c39215-b829-4d75-9d0d-087cd3c26085"
120 | },
121 | "outputs": [],
122 | "source": [
123 | "#@title Image and Patch Settings { run: \"auto\" }\n",
124 | "\n",
125 | "image_url = 'https://images2.minutemediacdn.com/image/upload/c_crop,h_706,w_1256,x_0,y_64/f_auto,q_auto,w_1100/v1554995050/shape/mentalfloss/516438-istock-637689912.jpg' #@param {type:\"string\"}\n",
126 | "image_resolution = 900#@param {type:\"integer\"}\n",
127 | "patch_size = 224#@param {type:\"integer\"}\n",
128 | "# integer_input = 10 #@param {type:\"integer\"}\n",
129 | "# integer_slider = 21 #@param {type:\"slider\", min:0, max:100, step:1}\n",
130 | "\n",
131 | "# Download the image from the web.\n",
132 | "image_path = 'image.png'\n",
133 | "urllib.request.urlretrieve(image_url, image_path)\n",
134 | "\n",
135 | "patches = patchify(image_path, image_resolution, patch_size)\n",
136 | "print(\"patches: \", patches.shape)\n",
137 | "viz_patches(patches, figsize=(8, 8))"
138 | ]
139 | },
140 | {
141 | "cell_type": "code",
142 | "execution_count": null,
143 | "metadata": {
144 | "cellView": "form",
145 | "colab": {
146 | "base_uri": "https://localhost:8080/",
147 | "height": 575
148 | },
149 | "id": "QuHrrEqXdVmx",
150 | "outputId": "c0adb805-22a9-4353-d98e-65bd1b3e8772"
151 | },
152 | "outputs": [],
153 | "source": [
154 | "#@title Detect\n",
155 | "\n",
156 | "clip_model = \"RN50\" #@param [\"RN50\", \"RN101\", \"RN50x4\", \"RN50x16\", \"ViT-B/32\", \"ViT-B/16\"]\n",
157 | "image_caption = 'the dog' #@param {type:\"string\"}\n",
158 | "topk = 6#@param {type:\"integer\"}\n",
159 | "\n",
160 | "# Load CLIP model.\n",
161 | "device = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
162 | "model, preprocess = clip.load(clip_model, device=device, jit=False)\n",
163 | "\n",
164 | "text_input = clip.tokenize([image_caption]).to(device)\n",
165 | "\n",
166 | "# Pad in case not equal to model expected input resolution.\n",
167 | "p = model.visual.input_resolution - patch_size\n",
168 | "patches_pad = torch.nn.functional.pad(\n",
169 | " patches, (p//2, p//2, p//2, p//2), \"constant\", 0).to(device)\n",
170 | "\n",
171 | "with torch.no_grad():\n",
172 | " patch_embs = model.encode_image(patches_pad)\n",
173 | " text_embs = model.encode_text(text_input)\n",
174 | " patch_embs = patch_embs / patch_embs.norm(dim=-1, keepdim=True)\n",
175 | " text_embs = text_embs / text_embs.norm(dim=-1, keepdim=True)\n",
176 | " sim = patch_embs @ text_embs.t()\n",
177 | " idx_max = sim.argmax().item()\n",
178 | " topk_idxs = torch.topk(sim.flatten(), topk)[-1].cpu().numpy().tolist()\n",
179 | "\n",
180 | "viz_patches(patches, figsize=(10, 10), patch_idx=idx_max, topk=topk_idxs, t=int(0.05*patch_size))"
181 | ]
182 | }
183 | ],
184 | "metadata": {
185 | "accelerator": "GPU",
186 | "colab": {
187 | "collapsed_sections": [],
188 | "include_colab_link": true,
189 | "name": "CLIP Patch Detection",
190 | "provenance": []
191 | },
192 | "kernelspec": {
193 | "display_name": "Python 3 (ipykernel)",
194 | "language": "python",
195 | "name": "python3"
196 | },
197 | "language_info": {
198 | "codemirror_mode": {
199 | "name": "ipython",
200 | "version": 3
201 | },
202 | "file_extension": ".py",
203 | "mimetype": "text/x-python",
204 | "name": "python",
205 | "nbconvert_exporter": "python",
206 | "pygments_lexer": "ipython3",
207 | "version": "3.8.10"
208 | }
209 | },
210 | "nbformat": 4,
211 | "nbformat_minor": 1
212 | }
213 |
--------------------------------------------------------------------------------
/LICENSE:
--------------------------------------------------------------------------------
1 | MIT License
2 |
3 | Copyright (c) 2021 Kevin Zakka
4 |
5 | Permission is hereby granted, free of charge, to any person obtaining a copy
6 | of this software and associated documentation files (the "Software"), to deal
7 | in the Software without restriction, including without limitation the rights
8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
9 | copies of the Software, and to permit persons to whom the Software is
10 | furnished to do so, subject to the following conditions:
11 |
12 | The above copyright notice and this permission notice shall be included in all
13 | copies or substantial portions of the Software.
14 |
15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
21 | SOFTWARE.
--------------------------------------------------------------------------------
/README.md:
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1 | # Playground for CLIP-like models
2 |
3 | | Demo | Colab Link |
4 | | ------------- | ------------- |
5 | | GradCAM Visualization | [](https://colab.research.google.com/github/kevinzakka/clip_playground/blob/main/CLIP_GradCAM_Visualization.ipynb) |
6 | | Naive Zero-shot Detection | [](https://colab.research.google.com/github/kevinzakka/clip_playground/blob/main/CLIP_Patch_Detection.ipynb) |
7 | | Smarter Zero-shot Detection | [](https://colab.research.google.com/github/kevinzakka/clip_playground/blob/main/CLIP_Zero_shot_Detector.ipynb) |
8 | | Captcha Solver | [](https://colab.research.google.com/github/kevinzakka/clip_playground/blob/main/CLIP_reCAPTCHA.ipynb) |
9 |
10 | If you find this playground useful, consider citing it:
11 |
12 | ```bibtex
13 | @software{zakka2021clipplayground,
14 | author = {Zakka, Kevin},
15 | month = {7},
16 | title = {{A Playground for CLIP-like Models}},
17 | url = {https://github.com/kevinzakka/clip_playground},
18 | version = {0.0.1},
19 | year = {2021}
20 | }
21 | ```
22 |
23 | ## Changelog
24 |
25 | ### 2021-07-28
26 |
27 | * Better plotting for reCAPTCHA.
28 |
29 | ### 2021-07-27
30 |
31 | * Allow multiple captions in detection query, colon separated.
32 | * Allow the user to resize an image during selective search.
33 | * Tuned the rejection parameters of selective search.
34 | * Minor bugfix in naive patch detector.
35 |
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