Push1

README.md

@@ -1,12 +1,13 @@
 ---
 title: Shelf Objects Detection Yolov7 Pytorch
-emoji: 📈
-colorFrom: gray
-colorTo: gray
+emoji: 👀
+colorFrom: yellow
+colorTo: pink
 sdk: gradio
-sdk_version: 3.16.2
+sdk_version: 3.1.4
 app_file: app.py
 pinned: false
 ---
 
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -0,0 +1,48 @@
+import torch
+import gradio as gr
+from huggingface_hub import hf_hub_download
+from PIL import Image
+
+REPO_ID = "thoucentric/Shelf_Objects_Detection_Yolov7_Pytorch"
+FILENAME = "best.pt"
+
+
+yolov7_custom_weights = hf_hub_download(repo_id=REPO_ID, filename=FILENAME)
+
+model = torch.hub.load('',model='custom', path_or_model=yolov7_custom_weights, force_reload=True)  # My Github repository https://github.com/Owaiskhan9654
+
+def object_detection(im, size=640):
+    results = model(im) 
+    results.render()  
+    return Image.fromarray(results.imgs[0])
+
+title = "Yolov7 Custom"
+
+image = gr.inputs.Image(shape=(640, 640), image_mode="RGB", source="upload", label="Upload Image", optional=False)
+outputs = gr.outputs.Image(type="pil", label="Output Image")
+
+Custom_description="<center>Custom Training Performed on Kaggle <a href='https://www.kaggle.com/code/owaiskhan9654/shelf-object-detection-yolov7-pytorch/notebook' style='text-decoration: underline' target='_blank'>Link</a> </center><br> <center>Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors </center> <br> on around 140 general items in Stores"
+
+Footer = (
+    "<center>Model Trained by: Owais Ahmad Data Scientist at <b> Thoucentric </b> <a href=\"https://www.linkedin.com/in/owaiskhan9654/\">Visit Profile</a> <br></center>"
+    
+    "<center> Model Trained Kaggle Kernel <a href=\"https://www.kaggle.com/code/owaiskhan9654/shelf-object-detection-yolov7-pytorch/notebook\">Link</a> <br></center>"
+        
+    
+    "<center> HuggingFace🤗 Model Deployed Repository <a href=\"https://huggingface.co/thoucentric/Shelf_Objects_Detection_Yolov7_Pytorch\">Link</a> <br></center>"
+)
+
+examples1=[["Image1.jpg"],["Image2.jpg"],["Image3.jpg"],["Image4.jpg"],["Image5.jpg"],["Image6.jpg"]]
+
+Top_Title="<center>Yolov7 🚀 Custom Trained by <a href='https://www.linkedin.com/in/owaiskhan9654/' style='text-decoration: underline' target='_blank'>Owais Ahmad </center></a> on around 140 general items in Stores"
+css = ".output-image, .input-image {height: 50rem !important; width: 100% !important;}"
+css = ".image-preview {height: auto !important;}"
+
+gr.Interface(
+    fn=object_detection,
+    inputs=image,
+    outputs=outputs,
+    title=Top_Title,
+    description=Custom_description,
+    article=Footer,
+    examples=examples1).launch()

requirements.txt

@@ -0,0 +1,38 @@
+#Yolov7 WongKinYiu Requirements
+
+# Usage: pip install -r requirements.txt
+
+# Base ----------------------------------------
+matplotlib>=3.2.2
+numpy>=1.18.5
+opencv-python>=4.1.1
+Pillow>=7.1.2
+PyYAML>=5.3.1
+requests>=2.23.0
+scipy>=1.4.1
+torch>=1.7.0,!=1.12.0
+torchvision>=0.8.1,!=0.13.0
+tqdm>=4.41.0
+protobuf<4.21.3
+
+# Logging -------------------------------------
+tensorboard>=2.4.1
+# wandb
+
+# Plotting ------------------------------------
+pandas>=1.1.4
+seaborn>=0.11.0
+
+# Export --------------------------------------
+# coremltools>=4.1  # CoreML export
+# onnx>=1.9.0  # ONNX export
+# onnx-simplifier>=0.3.6  # ONNX simplifier
+# scikit-learn==0.19.2  # CoreML quantization
+# tensorflow>=2.4.1  # TFLite export
+# tensorflowjs>=3.9.0  # TF.js export
+# openvino-dev  # OpenVINO export
+
+# Extras --------------------------------------
+ipython  # interactive notebook
+psutil  # system utilization
+thop  # FLOPs computation