I am trying to deploy the Yolov5 model in the Torch Serve 1 environment but on sending the below request to the endpoint I am not getting any response, the request seems to get stuck
$ curl http://127.0.0.1:8080/predictions/yolov5 -T /home/atinesh/Desktop/COCO_val2014_000000562557.jpg
Command to compile and deploy the model
Starting container
$ sudo docker run -d --rm -it \
-p 8080:8080 -p 8081:8081 -p 8082:8082 \
--name torchserve-cpu \
-v $(pwd)/model-server/model-store:/home/model-server/model-store \
-v $(pwd)/model-server/examples:/home/model-server/examples \
pytorch/torchserve:latest

Logging in the container and compiling .mar file using Torch Model Archiver
$ sudo docker exec -u root -it torchserve-cpu /bin/bash

root@<container-id>:<path># torch-model-archiver --model-name yolov5 \
--version 1.0 \
--serialized-file /home/model-server/examples/object_detector/yolov5/yolov5x.pt \
--handler /home/model-server/examples/object_detector/yolov5/torchserve_handler.py \
--export-path /home/model-server/model-store \
--extra-files /home/model-server/examples/object_detector/yolov5/torchserve_handler.py

Registering the model
$ curl -X POST "http://localhost:8081/models?url=/home/atinesh/model-server/model-store/yolov5.mar"
Scaling the worker
$ curl -v -X PUT "http://localhost:8081/models/yolov5?min_worker=1"
Deployed model is running properly, on checking model health I am getting below response
$ curl "http://localhost:8081/models/yolov5"
[
  {
    "modelName": "yolov5",
    "modelVersion": "1.0",
    "modelUrl": "/home/atinesh/model-server/model-store/yolov5.mar",
    "runtime": "python",
    "minWorkers": 1,
    "maxWorkers": 1,
    "batchSize": 1,
    "maxBatchDelay": 100,
    "loadedAtStartup": false,
    "workers": [
      {
        "id": "9001",
        "startTime": "2021-11-11T05:09:57.190Z",
        "status": "READY",
        "memoryUsage": 0,
        "pid": 507,
        "gpu": false,
        "gpuUsage": "N/A"
      }
    ]
  }
]

Other information
Yolov5 (XLarge) model is trained on custom COCO dataset to detect 2 objects person & bicycle, below is the link of the trained model file
yolov5x.pt
Image used for Inference: COCO_val2014_000000562557.jpg
I have tried two different handler files handler #1, handler #2 but the same issue persists.