hysts HF staff commited on
Commit
9e80b23
1 Parent(s): 653a10e
Files changed (4) hide show
  1. README.md +1 -1
  2. app.py +20 -19
  3. requirements.txt +2 -2
  4. style.css +4 -0
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: 🏢
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  colorFrom: gray
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  colorTo: purple
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  sdk: gradio
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- sdk_version: 3.36.1
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  app_file: app.py
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  pinned: false
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  ---
 
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  colorFrom: gray
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  colorTo: purple
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  sdk: gradio
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+ sdk_version: 4.36.0
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  app_file: app.py
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  pinned: false
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  ---
app.py CHANGED
@@ -2,9 +2,6 @@
2
 
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  from __future__ import annotations
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- import functools
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- import os
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-
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  import cv2
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  import gradio as gr
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  import numpy as np
@@ -12,12 +9,19 @@ import onnxruntime as ort
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  DESCRIPTION = "# [atksh/onnx-facial-lmk-detector](https://github.com/atksh/onnx-facial-lmk-detector)"
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- def run(image: np.ndarray, sess: ort.InferenceSession) -> np.ndarray:
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  # float32, int, int, uint8, int, float32
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  # (N,), (N, 4), (N, 5, 2), (N, 224, 224, 3), (N, 106, 2), (N, 2, 3)
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  scores, bboxes, keypoints, aligned_images, landmarks, affine_matrices = sess.run(
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- None, {"input": image[:, :, ::-1]}
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  )
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  res = image[:, :, ::-1].copy()
@@ -30,16 +34,7 @@ def run(image: np.ndarray, sess: ort.InferenceSession) -> np.ndarray:
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  return res[:, :, ::-1], [face[:, :, ::-1] for face in aligned_images]
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- options = ort.SessionOptions()
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- options.intra_op_num_threads = 8
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- options.inter_op_num_threads = 8
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- sess = ort.InferenceSession(
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- "onnx-facial-lmk-detector/model.onnx", sess_options=options, providers=["CPUExecutionProvider"]
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- )
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-
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- fn = functools.partial(run, sess=sess)
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-
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- examples = [["onnx-facial-lmk-detector/input.jpg"], ["images/pexels-ksenia-chernaya-8535230.jpg"]]
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  with gr.Blocks(css="style.css") as demo:
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  gr.Markdown(DESCRIPTION)
@@ -54,8 +49,14 @@ with gr.Blocks(css="style.css") as demo:
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  examples=examples,
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  inputs=image,
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  outputs=[result, gallery],
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- fn=fn,
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- cache_examples=os.getenv("CACHE_EXAMPLES") == "1",
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  )
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- run_button.click(fn=fn, inputs=image, outputs=[result, gallery], api_name="run")
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- demo.queue(max_size=10).launch()
 
 
 
 
 
 
 
 
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  from __future__ import annotations
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  import cv2
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  import gradio as gr
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  import numpy as np
 
9
 
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  DESCRIPTION = "# [atksh/onnx-facial-lmk-detector](https://github.com/atksh/onnx-facial-lmk-detector)"
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+ options = ort.SessionOptions()
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+ options.intra_op_num_threads = 8
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+ options.inter_op_num_threads = 8
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+ sess = ort.InferenceSession(
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+ "onnx-facial-lmk-detector/model.onnx", sess_options=options, providers=["CPUExecutionProvider"]
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+ )
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+
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+ def run(image: np.ndarray) -> np.ndarray:
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  # float32, int, int, uint8, int, float32
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  # (N,), (N, 4), (N, 5, 2), (N, 224, 224, 3), (N, 106, 2), (N, 2, 3)
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  scores, bboxes, keypoints, aligned_images, landmarks, affine_matrices = sess.run(
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+ None, {"input": image[:, :, ::-1].copy()}
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  )
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  res = image[:, :, ::-1].copy()
 
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  return res[:, :, ::-1], [face[:, :, ::-1] for face in aligned_images]
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+ examples = ["onnx-facial-lmk-detector/input.jpg", "images/pexels-ksenia-chernaya-8535230.jpg"]
 
 
 
 
 
 
 
 
 
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  with gr.Blocks(css="style.css") as demo:
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  gr.Markdown(DESCRIPTION)
 
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  examples=examples,
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  inputs=image,
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  outputs=[result, gallery],
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+ fn=run,
 
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  )
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+ run_button.click(
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+ fn=run,
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+ inputs=image,
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+ outputs=[result, gallery],
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+ api_name="run",
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+ )
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+
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+ if __name__ == "__main__":
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+ demo.queue(max_size=10).launch()
requirements.txt CHANGED
@@ -1,3 +1,3 @@
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- numpy==1.23.5
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  onnxruntime==1.15.0
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- opencv-python-headless==4.8.0.74
 
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+ numpy==1.26.4
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  onnxruntime==1.15.0
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+ opencv-python-headless==4.10.0.82
style.css CHANGED
@@ -1,7 +1,11 @@
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  h1 {
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  text-align: center;
 
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  }
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  #duplicate-button {
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  margin: auto;
 
 
 
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  }
 
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  h1 {
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  text-align: center;
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+ display: block;
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  }
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  #duplicate-button {
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  margin: auto;
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+ color: #fff;
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+ background: #1565c0;
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+ border-radius: 100vh;
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  }