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.gitattributes CHANGED
@@ -33,3 +33,76 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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.gitignore ADDED
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+ .idea
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+ *.DS_Store
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+
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+ *.pyc
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+
README.md CHANGED
@@ -1,12 +1,48 @@
1
  ---
2
- title: Pipeline
3
- emoji: 👀
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- colorFrom: gray
5
- colorTo: yellow
6
  sdk: gradio
7
  sdk_version: 4.36.1
8
- app_file: app.py
9
- pinned: false
10
  ---
 
11
 
12
- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ title: pipeline
3
+ app_file: engie_pipeline/app.py
 
 
4
  sdk: gradio
5
  sdk_version: 4.36.1
 
 
6
  ---
7
+ # Engie pipeline
8
 
9
+ ---
10
+
11
+ ### Installation
12
+
13
+ Python >=3.10 is required for the project. To install all the dependencies, simply run:
14
+
15
+ ```shell
16
+ pip install -r requirements.txt
17
+ ```
18
+
19
+ To download the needed model to run the pipeline, execute the following command:
20
+
21
+ ```shell
22
+ bash download_model.sh
23
+ ```
24
+
25
+ ---
26
+
27
+ ### Execution
28
+
29
+ To execute the pipeline, run the following command:
30
+
31
+ ```shell
32
+ python -m engie_pipeline.pipeline
33
+ ```
34
+
35
+ Change one or more parameter of the pipeline process with:
36
+ ```shell
37
+ python -m engie_pipeline.pipeline with path="<path/to/file/or/folder>" output_path="<path/to/output/folder" conformity_threshold=0.8
38
+ ```
39
+
40
+ if the `path` parameter is set to a folder, all the images found in the folder will be processed. The supported image types are ".jpg", ".jpeg", ".png"
41
+
42
+ ### App
43
+
44
+ To launch the app, run:
45
+
46
+ ```shell
47
+ python -m engie_pipeline.app
48
+ ```
data/test_sample.png ADDED

Git LFS Details

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download_model.sh ADDED
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1
+ if [ ! -f './models/detr.ckpt' ]
2
+ then
3
+ echo "Downloading DeTr detection model"
4
+ gsutil cp gs://illuin-engie-tableaux-sky-training/last-v6.ckpt ./models/detr.ckpt
5
+ fi
6
+
7
+ if [ ! -f './models/siglip.ckpt' ]
8
+ then
9
+ echo "Downloading siglip classification model"
10
+ gsutil cp gs://illuin-engie-tableaux-classification-training/last-v1.ckpt ./models/siglip.ckpt
11
+ fi
engie_pipeline/__init__.py ADDED
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engie_pipeline/app.py ADDED
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1
+ import os
2
+
3
+ import gradio as gr
4
+ import pandas as pd
5
+ from PIL import ImageDraw
6
+ from PIL.Image import Image
7
+ from sacred import Experiment
8
+
9
+ from engie_pipeline.pipeline import pipeline_experiment, set_up_pipeline, pipeline
10
+ from engie_pipeline.utils import draw_boxes
11
+
12
+ ex = Experiment("app", ingredients=[pipeline_experiment])
13
+
14
+
15
+ def process_image(models, image: Image, comformity_threshold: float):
16
+ image = image.convert("RGB")
17
+ siglip_probs, boxes, labels, scores, comformity = pipeline(**models, image=image, conformity_threshold=comformity_threshold, force_detr=True)
18
+
19
+ image = draw_boxes(
20
+ image=image, boxes=boxes[labels == 0], probs=scores[labels == 0], color="gray"
21
+ )
22
+
23
+ image = draw_boxes(
24
+ image=image, boxes=boxes[labels == 1], probs=scores[labels == 1], color="orange"
25
+ )
26
+ image = draw_boxes(
27
+ image=image, boxes=boxes[labels == 2], probs=scores[labels == 2], color="purple"
28
+ )
29
+
30
+ siglip_probs = pd.DataFrame(
31
+ siglip_probs.detach().numpy(),
32
+ columns=["Admissible", "Hors-sujet", "Non-admissible"],
33
+ )
34
+ return siglip_probs, image, comformity
35
+
36
+
37
+ @ex.automain
38
+ def app():
39
+ models = set_up_pipeline()
40
+
41
+ image_input = gr.Image(label="Input image", type="pil")
42
+ comformity_threshold = gr.Slider(minimum=0, maximum=1, step=0.01, value=0.8)
43
+ prob_output = gr.DataFrame(label="Probabilities (%)")
44
+ image_output = gr.Image(label="Output image")
45
+ label = gr.Label(label="Is the image conform?")
46
+
47
+ demo = gr.Interface(
48
+ fn=lambda im, thresh: process_image(models=models, image=im, comformity_threshold=thresh),
49
+ inputs=[image_input, comformity_threshold],
50
+ outputs=[prob_output, image_output, label],
51
+ )
52
+
53
+ demo.launch(auth=(os.environ.get("GRADIO_USERNAME"), os.environ.get("GRADIO_PASSWORD")))
engie_pipeline/eval.py ADDED
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1
+ import json
2
+ import os.path
3
+
4
+ from PIL import Image
5
+ import tqdm
6
+ from sacred import Experiment
7
+
8
+ from engie_pipeline.pipeline import run, pipeline, set_up_pipeline, pipeline_experiment
9
+
10
+ eval_experiment = Experiment('eval', ingredients=[pipeline_experiment])
11
+
12
+
13
+ @eval_experiment.config
14
+ def config():
15
+ label_path = "/Users/benoit/Projects/EngieTableauElectrique/data/dataset/test.json"
16
+ image_folder = "data/test_data"
17
+ conformity_threshold = 0.9
18
+
19
+
20
+ def intersection_over_union(boxA, boxB):
21
+ # determine the (x, y)-coordinates of the intersection rectangle
22
+ xA = max(boxA[0], boxB[0])
23
+ yA = max(boxA[1], boxB[1])
24
+ xB = min(boxA[2], boxB[2])
25
+ yB = min(boxA[3], boxB[3])
26
+ # compute the area of intersection rectangle
27
+ interArea = max(0, xB - xA) * max(0, yB - yA)
28
+ # compute the area of both the prediction and ground-truth
29
+ # rectangles
30
+ boxAArea = (boxA[2] - boxA[0] + 1) * (boxA[3] - boxA[1] + 1)
31
+ boxBArea = (boxB[2] - boxB[0] + 1) * (boxB[3] - boxB[1] + 1)
32
+ # compute the intersection over union by taking the intersection
33
+ # area and dividing it by the sum of prediction + ground-truth
34
+ # areas - the interesection area
35
+ iou = interArea / float(boxAArea + boxBArea - interArea)
36
+ # return the intersection over union value
37
+ return iou
38
+
39
+
40
+ @eval_experiment.automain
41
+ def evaluate(label_path, image_folder, conformity_threshold):
42
+ models = set_up_pipeline()
43
+ confusion_matrix = {
44
+ "tp": 0,
45
+ "fp": 0,
46
+ "fn": 0,
47
+ }
48
+ with open(label_path) as file:
49
+ test_data = json.load(file)
50
+
51
+ for image in tqdm.tqdm(test_data['images']):
52
+ _, boxes, labels, scores, _ = pipeline(image=Image.open(os.path.join(image_folder, image['filename'])), **models, force_detr=True)
53
+ annotations = [annotation for annotation in test_data['annotations'] if annotation['image_id'] == image['id'] and annotation['category_id'] == 2]
54
+
55
+ boxes = boxes[labels == 2]
56
+ scores = scores[labels == 2]
57
+ boxes = boxes[scores >= conformity_threshold]
58
+ bbox_useful = [False for _ in boxes]
59
+
60
+ for annotation in annotations:
61
+ x, y, w, h = annotation['bbox']
62
+ is_detected = False
63
+ for bbox_id, box in enumerate(boxes):
64
+ if intersection_over_union(box, [x, y, x+w, y+h]) > 0:
65
+ confusion_matrix['tp'] += 1
66
+ is_detected = True
67
+ bbox_useful[bbox_id] = True
68
+ break
69
+
70
+ if not is_detected:
71
+ confusion_matrix['fn'] += 1
72
+
73
+ for bbox_id, box in enumerate(boxes):
74
+ is_useful = False
75
+ for annotation in annotations:
76
+ x, y, w, h = annotation['bbox']
77
+ if intersection_over_union(box, [x, y, x + w, y + h]) > 0:
78
+
79
+ is_useful = True
80
+ break
81
+
82
+ if not is_useful:
83
+ confusion_matrix['fp'] += 1
84
+
85
+ return confusion_matrix
engie_pipeline/models/__init__.py ADDED
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1
+ from .siglip import get_siglip, get_siglip_preprocessor, siglip_ingredient
2
+ from .detr import get_detr, get_detr_feature_extractor, detr_ingredient
3
+
4
+ from sacred import Ingredient
5
+
6
+ model_ingredient = Ingredient("model", ingredients=[siglip_ingredient, detr_ingredient])
engie_pipeline/models/detr.py ADDED
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1
+ from typing import List, Tuple
2
+
3
+ import pytorch_lightning as pl
4
+ import torch
5
+ from sacred import Ingredient
6
+ from torch import nn
7
+ from transformers import AdamW, DetrForObjectDetection, DetrImageProcessor
8
+
9
+ detr_ingredient = Ingredient("detr", save_git_info=False)
10
+
11
+
12
+ # pylint: disable=unused-variable
13
+ @detr_ingredient.config
14
+ def config():
15
+ hf_ckpt = "facebook/detr-resnet-50"
16
+ model_path = "./models/detr.ckpt"
17
+
18
+ num_label = 3
19
+
20
+ labels = ["Tableau Electrique", "Disjoncteur", "Bouton de test"]
21
+
22
+ learning_rate = 1e-5
23
+
24
+
25
+ class DeTrLightning(pl.LightningModule):
26
+ @detr_ingredient.capture
27
+ def __init__(self, hf_ckpt: str, labels: List[str]):
28
+ super().__init__()
29
+
30
+ self.model = DetrForObjectDetection.from_pretrained(
31
+ hf_ckpt,
32
+ num_labels=len(labels),
33
+ id2label=dict(enumerate(labels)),
34
+ label2id={label: i for i, label in enumerate(labels)},
35
+ ignore_mismatched_sizes=True,
36
+ )
37
+
38
+ def forward(self, *args, **kwargs):
39
+ return self.model(*args, **kwargs)
40
+
41
+ # pylint: disable=arguments-differ
42
+ def training_step(self, batch):
43
+ targets = batch["labels"]
44
+
45
+ output = self.model(**batch)
46
+ loss = output["loss"]
47
+ self.log("train_loss", loss)
48
+
49
+ return loss
50
+
51
+ # pylint: disable=unused-argument
52
+ def validation_step(self, batch, batch_id):
53
+ inputs, mask, targets = (
54
+ batch["pixel_values"],
55
+ batch["pixel_mask"],
56
+ batch["labels"],
57
+ )
58
+
59
+ output = self.model(inputs, pixel_mask=mask, labels=targets)
60
+ loss = output["loss"]
61
+ self.log("test_loss", loss)
62
+
63
+ return loss
64
+
65
+ # pylint: disable=unused-argument
66
+ def test_step(self, batch, batch_id):
67
+ inputs, mask, targets = (
68
+ batch["pixel_values"],
69
+ batch["pixel_mask"],
70
+ batch["labels"],
71
+ )
72
+
73
+ output = self.model(inputs, pixel_mask=mask, labels=targets)
74
+ loss = output["loss"]
75
+ self.log("test_loss", loss)
76
+
77
+ return loss
78
+
79
+ # pylint: disable=arguments-differ
80
+ @detr_ingredient.capture
81
+ def configure_optimizers(self, learning_rate):
82
+ optimizer = AdamW(self.parameters(), lr=learning_rate)
83
+ return optimizer
84
+
85
+ @staticmethod
86
+ def box_cxcywh_to_xyxy(boxes):
87
+ center_x, center_y, width, height = boxes.unbind(-1)
88
+ boxes = torch.stack(
89
+ # top left x, top left y, bottom right x, bottom right y
90
+ [
91
+ (center_x - 0.5 * width),
92
+ (center_y - 0.5 * height),
93
+ (center_x + 0.5 * width),
94
+ (center_y + 0.5 * height),
95
+ ],
96
+ dim=-1,
97
+ )
98
+ return boxes
99
+
100
+ def process_output(self, model_output, image_size: Tuple[int, int]):
101
+ prob = model_output.logits.softmax(-1)
102
+ scores, labels = prob.max(-1)
103
+
104
+ boxes = self.box_cxcywh_to_xyxy(model_output.pred_boxes)
105
+ scale_fct = torch.Tensor(
106
+ [image_size[0], image_size[1], image_size[0], image_size[1]]
107
+ ).unsqueeze(0)
108
+ boxes = boxes * scale_fct[:, None, :]
109
+
110
+ return boxes, labels, scores
111
+
112
+
113
+ @detr_ingredient.capture
114
+ def get_detr(model_path: str):
115
+ if model_path:
116
+ return DeTrLightning.load_from_checkpoint(model_path)
117
+
118
+ return DeTrLightning()
119
+
120
+
121
+ @detr_ingredient.capture
122
+ def get_detr_feature_extractor(hf_ckpt):
123
+ return DetrImageProcessor.from_pretrained(
124
+ hf_ckpt,
125
+ )
engie_pipeline/models/siglip.py ADDED
@@ -0,0 +1,92 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from typing import List
2
+
3
+ import pytorch_lightning as pl
4
+ import torch
5
+ from sacred import Ingredient
6
+ from torch import nn
7
+ from torchvision import transforms
8
+
9
+ from transformers import AdamW, AutoImageProcessor, AutoModel, BitImageProcessor
10
+
11
+ siglip_ingredient = Ingredient("siglip", save_git_info=False)
12
+
13
+
14
+ # pylint: disable=unused-variable
15
+ @siglip_ingredient.config
16
+ def config():
17
+ hf_ckpt = "google/siglip-base-patch16-224"
18
+ model_path = "./models/siglip.ckpt"
19
+ ckpt = ""
20
+
21
+ learning_rate = 1e-5
22
+
23
+
24
+ class SiglipClassifier(pl.LightningModule):
25
+ @siglip_ingredient.capture
26
+ def __init__(self, hf_ckpt: str):
27
+ super().__init__()
28
+
29
+ self.vision_model = AutoModel.from_pretrained(hf_ckpt).base_model.vision_model
30
+ self.classifier = nn.Linear(768, 3)
31
+ self.criterion = nn.CrossEntropyLoss()
32
+
33
+ def forward(self, x):
34
+ features = self.vision_model(x).pooler_output
35
+ logits = self.classifier(features)
36
+ return logits
37
+
38
+ # pylint: disable=arguments-differ
39
+ def training_step(self, batch):
40
+ images, labels = batch
41
+
42
+ logits = self.forward(images)
43
+ loss = self.criterion(logits, labels)
44
+
45
+ self.log("loss", loss.item(), prog_bar=True)
46
+
47
+ return loss
48
+
49
+ # pylint: disable=unused-argument
50
+ def validation_step(self, batch, batch_id):
51
+ images, labels = batch
52
+
53
+ logits = self.forward(images)
54
+ loss = self.criterion(logits, labels)
55
+ self.log("test_loss", loss)
56
+
57
+ return loss
58
+
59
+ # pylint: disable=unused-argument
60
+ def test_step(self, batch, batch_id):
61
+ images, labels = batch
62
+
63
+ logits = self.forward(images)
64
+ loss = self.criterion(logits, labels)
65
+ self.log("val_loss", loss)
66
+
67
+ return loss
68
+
69
+ # pylint: disable=arguments-differ
70
+ @siglip_ingredient.capture
71
+ def configure_optimizers(self, learning_rate):
72
+ optimizer = torch.optim.AdamW(self.parameters(), lr=learning_rate)
73
+ return optimizer
74
+
75
+
76
+ @siglip_ingredient.capture
77
+ def get_siglip(model_path: str):
78
+ if model_path:
79
+ return SiglipClassifier.load_from_checkpoint(model_path)
80
+
81
+ return SiglipClassifier()
82
+
83
+
84
+ @siglip_ingredient.capture
85
+ def get_siglip_preprocessor(hf_ckpt: str):
86
+ return transforms.Compose(
87
+ [
88
+ transforms.Resize((224, 224)),
89
+ transforms.ToTensor(),
90
+ transforms.Normalize([0.5, 0.5, 0.5], [0.5, 0.5, 0.5]),
91
+ ]
92
+ )
engie_pipeline/pipeline.py ADDED
@@ -0,0 +1,145 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import json
2
+ import os.path
3
+ import uuid
4
+
5
+ from engie_pipeline.models import (
6
+ model_ingredient,
7
+ get_detr,
8
+ get_detr_feature_extractor,
9
+ get_siglip,
10
+ get_siglip_preprocessor,
11
+ )
12
+
13
+ from PIL import Image
14
+ from sacred import Experiment
15
+ from tqdm import tqdm
16
+
17
+ from engie_pipeline.utils import draw_boxes
18
+
19
+ pipeline_experiment = Experiment("pipeline", ingredients=[model_ingredient])
20
+
21
+
22
+ @pipeline_experiment.config
23
+ def config():
24
+ path = "data/"
25
+ output_path = "data/output"
26
+
27
+ conformity_threshold = .8
28
+
29
+
30
+ @pipeline_experiment.capture
31
+ def set_up_pipeline(output_path):
32
+ for labels in ["Conforme", "Non-conforme", "Hors-sujet", "Non-admissible"]:
33
+ if not os.path.isdir(os.path.join(output_path, labels)):
34
+ os.makedirs(os.path.join(output_path, labels), exist_ok=True)
35
+
36
+ detr = get_detr()
37
+ detr.eval()
38
+ detr_preprocessor = get_detr_feature_extractor()
39
+
40
+ siglip = get_siglip()
41
+ siglip.eval()
42
+ siglip_preprocessor = get_siglip_preprocessor()
43
+
44
+ return {
45
+ "detr": detr,
46
+ "detr_preprocessor": detr_preprocessor,
47
+ "siglip": siglip,
48
+ "siglip_preprocessor": siglip_preprocessor,
49
+ }
50
+
51
+
52
+ @pipeline_experiment.capture
53
+ def pipeline(
54
+ detr,
55
+ detr_preprocessor,
56
+ siglip,
57
+ siglip_preprocessor,
58
+ image: Image.Image,
59
+ output_path: str,
60
+ conformity_threshold: float,
61
+ force_detr: bool = False,
62
+ ):
63
+ filename = (
64
+ ".".join(os.path.basename(image.filename).split(".")[:-1])
65
+ if hasattr(image, "filename")
66
+ else str(uuid.uuid4())
67
+ )
68
+
69
+ if os.path.isfile(os.path.join(output_path, "Hors-sujet", filename + ".jpg")) or os.path.isfile(os.path.join(output_path, "Non-admissible", filename + ".jpg")) or os.path.isfile(os.path.join(output_path, "Conforme", filename + ".jpg")) or os.path.isfile(os.path.join(output_path, "Non-conforme", filename + ".jpg")):
70
+ return
71
+
72
+
73
+
74
+ siglip_image_input = siglip_preprocessor(image.copy())
75
+ siglip_probs = siglip(siglip_image_input.unsqueeze(0)).softmax(-1)
76
+
77
+ conformity = None
78
+
79
+ if siglip_probs.argmax() == 1:
80
+ conformity = "Hors-sujet"
81
+ image.save(os.path.join(output_path, "Hors-sujet", filename + ".jpg"))
82
+ if not force_detr:
83
+ with open(os.path.join(output_path, "Hors-sujet", filename + ".json"), "w") as file:
84
+ json.dump(
85
+ {"classification_probs": siglip_probs.tolist()}, file, indent=4
86
+ )
87
+ return
88
+
89
+ if siglip_probs.argmax() == 2:
90
+ conformity = "Non-admissible"
91
+ image.save(os.path.join(output_path, "Non-admissible", filename + ".jpg"))
92
+ if not force_detr:
93
+ with open(os.path.join(output_path, "Non-admissible", filename + ".json"), "w") as file:
94
+ json.dump(
95
+ {"classification_probs": siglip_probs.tolist()}, file, indent=4
96
+ )
97
+ return
98
+
99
+ detr_image_input = detr_preprocessor(image.copy(), return_tensors="pt")
100
+ detr_output = detr(detr_image_input["pixel_values"])
101
+ boxes, labels, scores = detr.process_output(detr_output, image.size)
102
+
103
+ if conformity is None:
104
+ conformity = "Conforme" if 2 in labels and scores[labels == 2].max() > conformity_threshold else "Non-conforme"
105
+
106
+ image = draw_boxes(
107
+ image=image, boxes=boxes[labels == 0], probs=scores[labels == 0], color="gray"
108
+ )
109
+
110
+ image = draw_boxes(
111
+ image=image, boxes=boxes[labels == 1], probs=scores[labels == 1], color="orange"
112
+ )
113
+ image = draw_boxes(
114
+ image=image, boxes=boxes[labels == 2], probs=scores[labels == 2], color="purple"
115
+ )
116
+ image.save(os.path.join(output_path, conformity, filename + ".jpg"))
117
+ with open(os.path.join(output_path, conformity, filename + ".json"), "w") as file:
118
+ json.dump(
119
+ {
120
+ "classification_probs": siglip_probs.tolist(),
121
+ "detection_statistics": {
122
+ label: {"scores": scores[labels == i].tolist(), "boxes": boxes[labels == i].tolist()}
123
+ for i, label in enumerate(
124
+ ["tableau", "disjoncteur", "bouton de test"]
125
+ )
126
+ },
127
+ },
128
+ file,
129
+ indent=4,
130
+ )
131
+
132
+ return siglip_probs, boxes, labels, scores, conformity
133
+
134
+
135
+ @pipeline_experiment.automain
136
+ def run(path: str):
137
+ models = set_up_pipeline()
138
+ if os.path.isfile(path):
139
+ pipeline(**models, image=Image.open(path))
140
+
141
+ for file in tqdm(os.listdir(path)):
142
+ if not file.lower().endswith(("jpg", "jpeg", "png")):
143
+ continue
144
+
145
+ pipeline(**models, image=Image.open(os.path.join(path, file)).convert('RGB'), force_detr=False)
engie_pipeline/utils.py ADDED
@@ -0,0 +1,17 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from PIL import ImageDraw
2
+
3
+
4
+ def draw_boxes(image, boxes, probs, color):
5
+ draw = ImageDraw.Draw(image)
6
+
7
+ for box, proba in zip(boxes, probs):
8
+ draw.rectangle(box.tolist(), outline=color, width=6)
9
+
10
+ draw.text(
11
+ (box[0], box[1] - 15),
12
+ text=str(round(proba.item(), 2)),
13
+ fill=color,
14
+ stroke_width=1,
15
+ )
16
+
17
+ return image
models/detr.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2ba36e47d2372b078e25d0c5a0d73fb474f71fbb08a00f02f0d93371550d7cba
3
+ size 497131777
models/siglip.ckpt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e893c153beb2da92464bdb058911c88fee9b72ca4cca391c3c13b3a7c4181f74
3
+ size 1114898848
requirements.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ gradio
2
+ pytorch-lightning
3
+ sacred
4
+ timm
5
+ torch
6
+ torchvision
7
+ transformers
8
+ httpcore
venv/bin/Activate.ps1 ADDED
@@ -0,0 +1,247 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <#
2
+ .Synopsis
3
+ Activate a Python virtual environment for the current PowerShell session.
4
+
5
+ .Description
6
+ Pushes the python executable for a virtual environment to the front of the
7
+ $Env:PATH environment variable and sets the prompt to signify that you are
8
+ in a Python virtual environment. Makes use of the command line switches as
9
+ well as the `pyvenv.cfg` file values present in the virtual environment.
10
+
11
+ .Parameter VenvDir
12
+ Path to the directory that contains the virtual environment to activate. The
13
+ default value for this is the parent of the directory that the Activate.ps1
14
+ script is located within.
15
+
16
+ .Parameter Prompt
17
+ The prompt prefix to display when this virtual environment is activated. By
18
+ default, this prompt is the name of the virtual environment folder (VenvDir)
19
+ surrounded by parentheses and followed by a single space (ie. '(.venv) ').
20
+
21
+ .Example
22
+ Activate.ps1
23
+ Activates the Python virtual environment that contains the Activate.ps1 script.
24
+
25
+ .Example
26
+ Activate.ps1 -Verbose
27
+ Activates the Python virtual environment that contains the Activate.ps1 script,
28
+ and shows extra information about the activation as it executes.
29
+
30
+ .Example
31
+ Activate.ps1 -VenvDir C:\Users\MyUser\Common\.venv
32
+ Activates the Python virtual environment located in the specified location.
33
+
34
+ .Example
35
+ Activate.ps1 -Prompt "MyPython"
36
+ Activates the Python virtual environment that contains the Activate.ps1 script,
37
+ and prefixes the current prompt with the specified string (surrounded in
38
+ parentheses) while the virtual environment is active.
39
+
40
+ .Notes
41
+ On Windows, it may be required to enable this Activate.ps1 script by setting the
42
+ execution policy for the user. You can do this by issuing the following PowerShell
43
+ command:
44
+
45
+ PS C:\> Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
46
+
47
+ For more information on Execution Policies:
48
+ https://go.microsoft.com/fwlink/?LinkID=135170
49
+
50
+ #>
51
+ Param(
52
+ [Parameter(Mandatory = $false)]
53
+ [String]
54
+ $VenvDir,
55
+ [Parameter(Mandatory = $false)]
56
+ [String]
57
+ $Prompt
58
+ )
59
+
60
+ <# Function declarations --------------------------------------------------- #>
61
+
62
+ <#
63
+ .Synopsis
64
+ Remove all shell session elements added by the Activate script, including the
65
+ addition of the virtual environment's Python executable from the beginning of
66
+ the PATH variable.
67
+
68
+ .Parameter NonDestructive
69
+ If present, do not remove this function from the global namespace for the
70
+ session.
71
+
72
+ #>
73
+ function global:deactivate ([switch]$NonDestructive) {
74
+ # Revert to original values
75
+
76
+ # The prior prompt:
77
+ if (Test-Path -Path Function:_OLD_VIRTUAL_PROMPT) {
78
+ Copy-Item -Path Function:_OLD_VIRTUAL_PROMPT -Destination Function:prompt
79
+ Remove-Item -Path Function:_OLD_VIRTUAL_PROMPT
80
+ }
81
+
82
+ # The prior PYTHONHOME:
83
+ if (Test-Path -Path Env:_OLD_VIRTUAL_PYTHONHOME) {
84
+ Copy-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME -Destination Env:PYTHONHOME
85
+ Remove-Item -Path Env:_OLD_VIRTUAL_PYTHONHOME
86
+ }
87
+
88
+ # The prior PATH:
89
+ if (Test-Path -Path Env:_OLD_VIRTUAL_PATH) {
90
+ Copy-Item -Path Env:_OLD_VIRTUAL_PATH -Destination Env:PATH
91
+ Remove-Item -Path Env:_OLD_VIRTUAL_PATH
92
+ }
93
+
94
+ # Just remove the VIRTUAL_ENV altogether:
95
+ if (Test-Path -Path Env:VIRTUAL_ENV) {
96
+ Remove-Item -Path env:VIRTUAL_ENV
97
+ }
98
+
99
+ # Just remove VIRTUAL_ENV_PROMPT altogether.
100
+ if (Test-Path -Path Env:VIRTUAL_ENV_PROMPT) {
101
+ Remove-Item -Path env:VIRTUAL_ENV_PROMPT
102
+ }
103
+
104
+ # Just remove the _PYTHON_VENV_PROMPT_PREFIX altogether:
105
+ if (Get-Variable -Name "_PYTHON_VENV_PROMPT_PREFIX" -ErrorAction SilentlyContinue) {
106
+ Remove-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Scope Global -Force
107
+ }
108
+
109
+ # Leave deactivate function in the global namespace if requested:
110
+ if (-not $NonDestructive) {
111
+ Remove-Item -Path function:deactivate
112
+ }
113
+ }
114
+
115
+ <#
116
+ .Description
117
+ Get-PyVenvConfig parses the values from the pyvenv.cfg file located in the
118
+ given folder, and returns them in a map.
119
+
120
+ For each line in the pyvenv.cfg file, if that line can be parsed into exactly
121
+ two strings separated by `=` (with any amount of whitespace surrounding the =)
122
+ then it is considered a `key = value` line. The left hand string is the key,
123
+ the right hand is the value.
124
+
125
+ If the value starts with a `'` or a `"` then the first and last character is
126
+ stripped from the value before being captured.
127
+
128
+ .Parameter ConfigDir
129
+ Path to the directory that contains the `pyvenv.cfg` file.
130
+ #>
131
+ function Get-PyVenvConfig(
132
+ [String]
133
+ $ConfigDir
134
+ ) {
135
+ Write-Verbose "Given ConfigDir=$ConfigDir, obtain values in pyvenv.cfg"
136
+
137
+ # Ensure the file exists, and issue a warning if it doesn't (but still allow the function to continue).
138
+ $pyvenvConfigPath = Join-Path -Resolve -Path $ConfigDir -ChildPath 'pyvenv.cfg' -ErrorAction Continue
139
+
140
+ # An empty map will be returned if no config file is found.
141
+ $pyvenvConfig = @{ }
142
+
143
+ if ($pyvenvConfigPath) {
144
+
145
+ Write-Verbose "File exists, parse `key = value` lines"
146
+ $pyvenvConfigContent = Get-Content -Path $pyvenvConfigPath
147
+
148
+ $pyvenvConfigContent | ForEach-Object {
149
+ $keyval = $PSItem -split "\s*=\s*", 2
150
+ if ($keyval[0] -and $keyval[1]) {
151
+ $val = $keyval[1]
152
+
153
+ # Remove extraneous quotations around a string value.
154
+ if ("'""".Contains($val.Substring(0, 1))) {
155
+ $val = $val.Substring(1, $val.Length - 2)
156
+ }
157
+
158
+ $pyvenvConfig[$keyval[0]] = $val
159
+ Write-Verbose "Adding Key: '$($keyval[0])'='$val'"
160
+ }
161
+ }
162
+ }
163
+ return $pyvenvConfig
164
+ }
165
+
166
+
167
+ <# Begin Activate script --------------------------------------------------- #>
168
+
169
+ # Determine the containing directory of this script
170
+ $VenvExecPath = Split-Path -Parent $MyInvocation.MyCommand.Definition
171
+ $VenvExecDir = Get-Item -Path $VenvExecPath
172
+
173
+ Write-Verbose "Activation script is located in path: '$VenvExecPath'"
174
+ Write-Verbose "VenvExecDir Fullname: '$($VenvExecDir.FullName)"
175
+ Write-Verbose "VenvExecDir Name: '$($VenvExecDir.Name)"
176
+
177
+ # Set values required in priority: CmdLine, ConfigFile, Default
178
+ # First, get the location of the virtual environment, it might not be
179
+ # VenvExecDir if specified on the command line.
180
+ if ($VenvDir) {
181
+ Write-Verbose "VenvDir given as parameter, using '$VenvDir' to determine values"
182
+ }
183
+ else {
184
+ Write-Verbose "VenvDir not given as a parameter, using parent directory name as VenvDir."
185
+ $VenvDir = $VenvExecDir.Parent.FullName.TrimEnd("\\/")
186
+ Write-Verbose "VenvDir=$VenvDir"
187
+ }
188
+
189
+ # Next, read the `pyvenv.cfg` file to determine any required value such
190
+ # as `prompt`.
191
+ $pyvenvCfg = Get-PyVenvConfig -ConfigDir $VenvDir
192
+
193
+ # Next, set the prompt from the command line, or the config file, or
194
+ # just use the name of the virtual environment folder.
195
+ if ($Prompt) {
196
+ Write-Verbose "Prompt specified as argument, using '$Prompt'"
197
+ }
198
+ else {
199
+ Write-Verbose "Prompt not specified as argument to script, checking pyvenv.cfg value"
200
+ if ($pyvenvCfg -and $pyvenvCfg['prompt']) {
201
+ Write-Verbose " Setting based on value in pyvenv.cfg='$($pyvenvCfg['prompt'])'"
202
+ $Prompt = $pyvenvCfg['prompt'];
203
+ }
204
+ else {
205
+ Write-Verbose " Setting prompt based on parent's directory's name. (Is the directory name passed to venv module when creating the virtual environment)"
206
+ Write-Verbose " Got leaf-name of $VenvDir='$(Split-Path -Path $venvDir -Leaf)'"
207
+ $Prompt = Split-Path -Path $venvDir -Leaf
208
+ }
209
+ }
210
+
211
+ Write-Verbose "Prompt = '$Prompt'"
212
+ Write-Verbose "VenvDir='$VenvDir'"
213
+
214
+ # Deactivate any currently active virtual environment, but leave the
215
+ # deactivate function in place.
216
+ deactivate -nondestructive
217
+
218
+ # Now set the environment variable VIRTUAL_ENV, used by many tools to determine
219
+ # that there is an activated venv.
220
+ $env:VIRTUAL_ENV = $VenvDir
221
+
222
+ if (-not $Env:VIRTUAL_ENV_DISABLE_PROMPT) {
223
+
224
+ Write-Verbose "Setting prompt to '$Prompt'"
225
+
226
+ # Set the prompt to include the env name
227
+ # Make sure _OLD_VIRTUAL_PROMPT is global
228
+ function global:_OLD_VIRTUAL_PROMPT { "" }
229
+ Copy-Item -Path function:prompt -Destination function:_OLD_VIRTUAL_PROMPT
230
+ New-Variable -Name _PYTHON_VENV_PROMPT_PREFIX -Description "Python virtual environment prompt prefix" -Scope Global -Option ReadOnly -Visibility Public -Value $Prompt
231
+
232
+ function global:prompt {
233
+ Write-Host -NoNewline -ForegroundColor Green "($_PYTHON_VENV_PROMPT_PREFIX) "
234
+ _OLD_VIRTUAL_PROMPT
235
+ }
236
+ $env:VIRTUAL_ENV_PROMPT = $Prompt
237
+ }
238
+
239
+ # Clear PYTHONHOME
240
+ if (Test-Path -Path Env:PYTHONHOME) {
241
+ Copy-Item -Path Env:PYTHONHOME -Destination Env:_OLD_VIRTUAL_PYTHONHOME
242
+ Remove-Item -Path Env:PYTHONHOME
243
+ }
244
+
245
+ # Add the venv to the PATH
246
+ Copy-Item -Path Env:PATH -Destination Env:_OLD_VIRTUAL_PATH
247
+ $Env:PATH = "$VenvExecDir$([System.IO.Path]::PathSeparator)$Env:PATH"
venv/bin/activate ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # This file must be used with "source bin/activate" *from bash*
2
+ # you cannot run it directly
3
+
4
+ deactivate () {
5
+ # reset old environment variables
6
+ if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
7
+ PATH="${_OLD_VIRTUAL_PATH:-}"
8
+ export PATH
9
+ unset _OLD_VIRTUAL_PATH
10
+ fi
11
+ if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
12
+ PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
13
+ export PYTHONHOME
14
+ unset _OLD_VIRTUAL_PYTHONHOME
15
+ fi
16
+
17
+ # This should detect bash and zsh, which have a hash command that must
18
+ # be called to get it to forget past commands. Without forgetting
19
+ # past commands the $PATH changes we made may not be respected
20
+ if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
21
+ hash -r 2> /dev/null
22
+ fi
23
+
24
+ if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
25
+ PS1="${_OLD_VIRTUAL_PS1:-}"
26
+ export PS1
27
+ unset _OLD_VIRTUAL_PS1
28
+ fi
29
+
30
+ unset VIRTUAL_ENV
31
+ unset VIRTUAL_ENV_PROMPT
32
+ if [ ! "${1:-}" = "nondestructive" ] ; then
33
+ # Self destruct!
34
+ unset -f deactivate
35
+ fi
36
+ }
37
+
38
+ # unset irrelevant variables
39
+ deactivate nondestructive
40
+
41
+ VIRTUAL_ENV="/home/nathan.botbol/pipeline/venv"
42
+ export VIRTUAL_ENV
43
+
44
+ _OLD_VIRTUAL_PATH="$PATH"
45
+ PATH="$VIRTUAL_ENV/bin:$PATH"
46
+ export PATH
47
+
48
+ # unset PYTHONHOME if set
49
+ # this will fail if PYTHONHOME is set to the empty string (which is bad anyway)
50
+ # could use `if (set -u; : $PYTHONHOME) ;` in bash
51
+ if [ -n "${PYTHONHOME:-}" ] ; then
52
+ _OLD_VIRTUAL_PYTHONHOME="${PYTHONHOME:-}"
53
+ unset PYTHONHOME
54
+ fi
55
+
56
+ if [ -z "${VIRTUAL_ENV_DISABLE_PROMPT:-}" ] ; then
57
+ _OLD_VIRTUAL_PS1="${PS1:-}"
58
+ PS1="(venv) ${PS1:-}"
59
+ export PS1
60
+ VIRTUAL_ENV_PROMPT="(venv) "
61
+ export VIRTUAL_ENV_PROMPT
62
+ fi
63
+
64
+ # This should detect bash and zsh, which have a hash command that must
65
+ # be called to get it to forget past commands. Without forgetting
66
+ # past commands the $PATH changes we made may not be respected
67
+ if [ -n "${BASH:-}" -o -n "${ZSH_VERSION:-}" ] ; then
68
+ hash -r 2> /dev/null
69
+ fi
venv/bin/activate.csh ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # This file must be used with "source bin/activate.csh" *from csh*.
2
+ # You cannot run it directly.
3
+ # Created by Davide Di Blasi <[email protected]>.
4
+ # Ported to Python 3.3 venv by Andrew Svetlov <[email protected]>
5
+
6
+ alias deactivate 'test $?_OLD_VIRTUAL_PATH != 0 && setenv PATH "$_OLD_VIRTUAL_PATH" && unset _OLD_VIRTUAL_PATH; rehash; test $?_OLD_VIRTUAL_PROMPT != 0 && set prompt="$_OLD_VIRTUAL_PROMPT" && unset _OLD_VIRTUAL_PROMPT; unsetenv VIRTUAL_ENV; unsetenv VIRTUAL_ENV_PROMPT; test "\!:*" != "nondestructive" && unalias deactivate'
7
+
8
+ # Unset irrelevant variables.
9
+ deactivate nondestructive
10
+
11
+ setenv VIRTUAL_ENV "/home/nathan.botbol/pipeline/venv"
12
+
13
+ set _OLD_VIRTUAL_PATH="$PATH"
14
+ setenv PATH "$VIRTUAL_ENV/bin:$PATH"
15
+
16
+
17
+ set _OLD_VIRTUAL_PROMPT="$prompt"
18
+
19
+ if (! "$?VIRTUAL_ENV_DISABLE_PROMPT") then
20
+ set prompt = "(venv) $prompt"
21
+ setenv VIRTUAL_ENV_PROMPT "(venv) "
22
+ endif
23
+
24
+ alias pydoc python -m pydoc
25
+
26
+ rehash
venv/bin/activate.fish ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # This file must be used with "source <venv>/bin/activate.fish" *from fish*
2
+ # (https://fishshell.com/); you cannot run it directly.
3
+
4
+ function deactivate -d "Exit virtual environment and return to normal shell environment"
5
+ # reset old environment variables
6
+ if test -n "$_OLD_VIRTUAL_PATH"
7
+ set -gx PATH $_OLD_VIRTUAL_PATH
8
+ set -e _OLD_VIRTUAL_PATH
9
+ end
10
+ if test -n "$_OLD_VIRTUAL_PYTHONHOME"
11
+ set -gx PYTHONHOME $_OLD_VIRTUAL_PYTHONHOME
12
+ set -e _OLD_VIRTUAL_PYTHONHOME
13
+ end
14
+
15
+ if test -n "$_OLD_FISH_PROMPT_OVERRIDE"
16
+ set -e _OLD_FISH_PROMPT_OVERRIDE
17
+ # prevents error when using nested fish instances (Issue #93858)
18
+ if functions -q _old_fish_prompt
19
+ functions -e fish_prompt
20
+ functions -c _old_fish_prompt fish_prompt
21
+ functions -e _old_fish_prompt
22
+ end
23
+ end
24
+
25
+ set -e VIRTUAL_ENV
26
+ set -e VIRTUAL_ENV_PROMPT
27
+ if test "$argv[1]" != "nondestructive"
28
+ # Self-destruct!
29
+ functions -e deactivate
30
+ end
31
+ end
32
+
33
+ # Unset irrelevant variables.
34
+ deactivate nondestructive
35
+
36
+ set -gx VIRTUAL_ENV "/home/nathan.botbol/pipeline/venv"
37
+
38
+ set -gx _OLD_VIRTUAL_PATH $PATH
39
+ set -gx PATH "$VIRTUAL_ENV/bin" $PATH
40
+
41
+ # Unset PYTHONHOME if set.
42
+ if set -q PYTHONHOME
43
+ set -gx _OLD_VIRTUAL_PYTHONHOME $PYTHONHOME
44
+ set -e PYTHONHOME
45
+ end
46
+
47
+ if test -z "$VIRTUAL_ENV_DISABLE_PROMPT"
48
+ # fish uses a function instead of an env var to generate the prompt.
49
+
50
+ # Save the current fish_prompt function as the function _old_fish_prompt.
51
+ functions -c fish_prompt _old_fish_prompt
52
+
53
+ # With the original prompt function renamed, we can override with our own.
54
+ function fish_prompt
55
+ # Save the return status of the last command.
56
+ set -l old_status $status
57
+
58
+ # Output the venv prompt; color taken from the blue of the Python logo.
59
+ printf "%s%s%s" (set_color 4B8BBE) "(venv) " (set_color normal)
60
+
61
+ # Restore the return status of the previous command.
62
+ echo "exit $old_status" | .
63
+ # Output the original/"old" prompt.
64
+ _old_fish_prompt
65
+ end
66
+
67
+ set -gx _OLD_FISH_PROMPT_OVERRIDE "$VIRTUAL_ENV"
68
+ set -gx VIRTUAL_ENV_PROMPT "(venv) "
69
+ end
venv/bin/convert-caffe2-to-onnx ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from caffe2.python.onnx.bin.conversion import caffe2_to_onnx
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(caffe2_to_onnx())
venv/bin/convert-onnx-to-caffe2 ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from caffe2.python.onnx.bin.conversion import onnx_to_caffe2
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(onnx_to_caffe2())
venv/bin/cpuinfo ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from cpuinfo import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/dotenv ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from dotenv.__main__ import cli
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(cli())
venv/bin/email_validator ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from email_validator.__main__ import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/f2py ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from numpy.f2py.f2py2e import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/fastapi ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from fastapi_cli.cli import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/fonttools ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from fontTools.__main__ import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/gradio ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from gradio.cli import cli
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(cli())
venv/bin/httpx ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from httpx import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/huggingface-cli ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from huggingface_hub.commands.huggingface_cli import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/isympy ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from isympy import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/jsonschema ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from jsonschema.cli import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/markdown-it ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from markdown_it.cli.parse import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/normalizer ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from charset_normalizer.cli import cli_detect
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(cli_detect())
venv/bin/pip ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from pip._internal.cli.main import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/pip3 ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from pip._internal.cli.main import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/pip3.11 ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from pip._internal.cli.main import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/pyftmerge ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from fontTools.merge import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/pyftsubset ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from fontTools.subset import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/pygmentize ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
2
+ # -*- coding: utf-8 -*-
3
+ import re
4
+ import sys
5
+ from pygments.cmdline import main
6
+ if __name__ == '__main__':
7
+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
8
+ sys.exit(main())
venv/bin/python ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c09bdf51cb07702306021fa676cc735e58f2673fb516ecbd63bf87e978063f95
3
+ size 6831704
venv/bin/python3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c09bdf51cb07702306021fa676cc735e58f2673fb516ecbd63bf87e978063f95
3
+ size 6831704
venv/bin/python3.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c09bdf51cb07702306021fa676cc735e58f2673fb516ecbd63bf87e978063f95
3
+ size 6831704
venv/bin/ruff ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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venv/bin/torchrun ADDED
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+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
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+ # -*- coding: utf-8 -*-
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+ import re
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+ import sys
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+ from torch.distributed.run import main
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+ if __name__ == '__main__':
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+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
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+ sys.exit(main())
venv/bin/tqdm ADDED
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+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
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+ # -*- coding: utf-8 -*-
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+ import re
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+ import sys
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+ from tqdm.cli import main
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+ if __name__ == '__main__':
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+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
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+ sys.exit(main())
venv/bin/transformers-cli ADDED
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+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
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+ # -*- coding: utf-8 -*-
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+ import re
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+ import sys
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+ from transformers.commands.transformers_cli import main
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+ if __name__ == '__main__':
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+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
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+ sys.exit(main())
venv/bin/ttx ADDED
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+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
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+ # -*- coding: utf-8 -*-
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+ import re
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+ import sys
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+ from fontTools.ttx import main
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+ if __name__ == '__main__':
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+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
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+ sys.exit(main())
venv/bin/typer ADDED
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+ #!/home/nathan.botbol/pipeline/venv/bin/python3.11
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+ # -*- coding: utf-8 -*-
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+ import re
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+ import sys
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+ from typer.cli import main
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+ if __name__ == '__main__':
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+ sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0])
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+ sys.exit(main())