Raimund Schnürer
Raimund Schnürer
@sven-h Your snippet works well. I tried: ```python sparql = SPARQLWrapper("http://dbpedia.org/sparql") sparql.setQuery("SELECT DISTINCT ?geometry WHERE { geo:geometry ?geometry}") sparql.setReturnFormat(JSON) results = sparql.query().convert() ``` It works with Python 3.7, but the...
Hi sven-h, I used virtualenv instead of conda. An openssl binary is not available there. I tried adding pyOpenSSL, but it did not help. I noticed that sparqlwrapper works fine...
@anilesec I faced a similar problem. When using the `sign_method="depth"` parameter, the artefacts disappear in your example mesh. The surface seems to be more rough though: 
Here my attempt to adapt the code. Now ten tasks are performed and summed in each step: ``` def train_maml(model, epochs, dataset, lr_inner=0.01, batch_size=1, log_steps=100): #MOD # ... optimizer =...
In my case it worked after specifying the encoding in [writer.py](https://github.com/rom1504/img2dataset/blob/main/img2dataset/writer.py): ```python def write(self, img_str, key, caption, meta): ... with self.fs.open(caption_filename, "w", encoding="utf-8") as f: ... with self.fs.open(meta_filename, "w", encoding="utf-8")...
Maybe you forgot running ``` python setup.py build develop ``` to build the _C module.
Yes, try to install the Visual Studio Build Tools 2019 to build detectron2 and this project. This stackoverflow answer may also help: https://stackoverflow.com/a/77061123/1424765