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Build error
Mauricio Guerta
commited on
Commit
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4ff08e8
1
Parent(s):
34f0f30
Remove tmp files
Browse files
app.py
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@@ -4,7 +4,9 @@ import torch
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import json
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import yoloxdetect2.helpers as yoloxdetect
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model = yoloxdetect.YoloxDetector2('kadirnar/yolox_s-v0.1.1', 'configs.yolox_s', device="cpu", hf_model=True)
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image_size = 640
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def yolox_inference(
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@@ -19,7 +21,8 @@ def yolox_inference(
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"""
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pred2 = []
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if
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model.torchyolo = True
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pred2 = model.predict(image_path=image_path, image_size=image_size)
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@@ -48,7 +51,7 @@ def yolox_inference(
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inputs = [
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gr.inputs.Image(type="
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]
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outputs = gr.outputs.Image(type="filepath", label="Output Image")
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import json
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import yoloxdetect2.helpers as yoloxdetect
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#model = yoloxdetect.YoloxDetector2('./dataset/yolox_s.pth', 'configs.yolox_s', device="cpu", hf_model=True)
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model = yoloxdetect.YoloxDetector2('kadirnar/yolox_s-v0.1.1', 'configs.yolox_s', device="cpu", hf_model=True)
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image_size = 640
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def yolox_inference(
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"""
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pred2 = []
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if image_path is not None :
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print(image_path)
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model.torchyolo = True
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pred2 = model.predict(image_path=image_path, image_size=image_size)
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inputs = [
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gr.inputs.Image(type="pil", label="Input Image"),
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]
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outputs = gr.outputs.Image(type="filepath", label="Output Image")
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configs/__pycache__/__init__.cpython-38.pyc
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Binary files a/configs/__pycache__/__init__.cpython-38.pyc and b/configs/__pycache__/__init__.cpython-38.pyc differ
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configs/__pycache__/yolox_s.cpython-38.pyc
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Binary files a/configs/__pycache__/yolox_s.cpython-38.pyc and b/configs/__pycache__/yolox_s.cpython-38.pyc differ
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yoloxdetect2/__pycache__/helpers.cpython-38.pyc
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Binary files a/yoloxdetect2/__pycache__/helpers.cpython-38.pyc and b/yoloxdetect2/__pycache__/helpers.cpython-38.pyc differ
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yoloxdetect2/helpers.py
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@@ -6,7 +6,9 @@ import importlib
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import torch
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import cv2
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import os
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class YoloxDetector2:
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def __init__(
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@@ -28,13 +30,14 @@ class YoloxDetector2:
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if self.save:
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self.save_path = 'output/result.jpg'
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-
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if hf_model:
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self.model_path = attempt_download_from_hub(model_path)
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else:
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self.model_path = attempt_download(model_path)
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self.load_model()
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@@ -51,7 +54,10 @@ class YoloxDetector2:
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def predict(self, image_path, image_size):
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image = cv2.imread(image_path)
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if image_size is not None:
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ratio = min(image_size / image.shape[0], image_size / image.shape[1])
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img, _ = preproc(image, input_size=(image_size, image_size))
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@@ -61,7 +67,7 @@ class YoloxDetector2:
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ratio = min(manuel_size / image.shape[0], manuel_size / image.shape[1])
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img, _ = preproc(image, input_size=(manuel_size, manuel_size))
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img = torch.from_numpy(img).to(self.device).unsqueeze(0).float()
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-
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prediction_result = self.model(img)
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original_predictions = postprocess(
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prediction=prediction_result,
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import torch
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import cv2
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import os
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from PIL import Image
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from torchvision import transforms
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import numpy
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class YoloxDetector2:
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def __init__(
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if self.save:
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self.save_path = 'output/result.jpg'
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if hf_model:
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self.model_path = attempt_download_from_hub(model_path)
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else:
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self.model_path = attempt_download(model_path)
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#self.model_path = model_path
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self.load_model()
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def predict(self, image_path, image_size):
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#image = cv2.imread(image_path)
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#img = transforms.ToTensor()(image_path).unsqueeze(0)
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image = opencvImage = cv2.cvtColor(numpy.array(image_path), cv2.COLOR_RGB2BGR)
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if image_size is not None:
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ratio = min(image_size / image.shape[0], image_size / image.shape[1])
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img, _ = preproc(image, input_size=(image_size, image_size))
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ratio = min(manuel_size / image.shape[0], manuel_size / image.shape[1])
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img, _ = preproc(image, input_size=(manuel_size, manuel_size))
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img = torch.from_numpy(img).to(self.device).unsqueeze(0).float()
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prediction_result = self.model(img)
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original_predictions = postprocess(
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prediction=prediction_result,
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yoloxdetect2/utils/__pycache__/downloads.cpython-38.pyc
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Binary files a/yoloxdetect2/utils/__pycache__/downloads.cpython-38.pyc and b/yoloxdetect2/utils/__pycache__/downloads.cpython-38.pyc differ
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