Thai N Pham
Thai N Pham
Hello, While doing the loop to get every columns in search result ``` _query = Query(f"{keywords}*").verbatim().paging(_start, _lenr) _data = _search.search(_query) _total = _data.total def c_app(itm): bulk = {} for col...
Dear guys, Thanks for sharing your code - Author, philipperemy. It's helpful for my data science hobby atm. Here is how to bypass detection of amazon **### In: core_utils.py:** **Import...
### Operating System Ubuntu 20.04 ### Docker Image lastest ### Expected behaviour The first run is ok, everything work perfect as expected. But when i restart the container, the problem...
Hello, I was first able to make it display all in one tab   I tried on \mw\DeviceTracker.ts to make a clients pool to receive the action message then...
Hello, I'm facing strange issue. Emulators connected GPU but these vms does not use GPU.  My GPU driver setup in host: ``` 1./ sudo apt-get purge nvidia-* 2./ sudo...
If create new cluster with module loaded, all replica(s) crash I'm working on a trick by not load module while creating cluster and load it later ``` 8:C 19 Oct...
`8:S 18 Oct 2021 04:00:09.917 # Skipping diskless-load because there are modules that don't handle read errors. ` Hello, I'm trying with redis cluster but got this error message The...
### Search before asking - [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. ### Question I have multiple problem with Yolov8: ### **- Very...
Hello, I'm using python with redis / StrictRedis. The original connection with the standalone mode is ok. But when I try to connect Redis-cluster-proxy on port 7777, I got the...
i implemented in my code ```predictor = SamPredictor(self.sam) image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB) predictor.set_image(image) input_boxes = np.array(boxes) if len(boxes) > 0 else None input_boxes = torch.tensor(input_boxes, device=predictor.device) transformed_boxes = predictor.transform.apply_boxes_torch(input_boxes, image.shape[:2])...